Overview The project management tool Plane, versions 1.3.0 and earlier, contains a multi-tenant authorization bypass vulnerability in its asset-management API that allows unauthorized users to access, delete, or duplicate assets that belong to other workspaces. Description Plane is an open-source project management platform that provides multi-tenant workspace isolation for users to track issues, monitor progress, and manage workflows. The platform's API supports uploading, retrieving, deleting, and duplicating files associated with issues and tasks within a workspace. CVE-2026-15342 Plane's asset-management API endpoints accept workspace slugs and asset identifiers as path parameters, but do not verify that the requesting user is authorized to access the specified workspace. As a result, an authenticated user in one workspace can supply the slug and asset ID of a different workspace when sending requests, which enables them to perform unauthorized read, duplicate, or delete actions on the other workspace's assets. To exploit this vulnerability, an attacker must authenticate to any existing Plane workspace, including their own, and know the slug and asset ID belonging to the victim workspace. These identifiers can be obtained from sources such as public or semi-public issue/board URLs, attachment download links, or exported API data. Impact The ability to bypass workspace-level tenant isolation enables an attacker to exfiltrate sensitive files, destroy project data, and create permanent copies of victim assets inside their own workspace. Solution Unfortunately, the CERT/CC was unable to reach Plane to coordinate this vulnerability, and a patch is not yet available.
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Google's DeepMind on Tuesday announced the release of Gemini 3.5 Flash Cyber, a specialized artificial intelligence (AI) model built atop 3.5 Flash that's designed to discover, validate, and patch vulnerabilities quickly and efficiently. According to the tech giant, the model will be exclusively available to governments and trusted partners via CodeMender as part of a limited-access pilot
An Android app that can draw over other windows and write to shared storage can slip instructions to the AI agent driving that phone, in text no human eye will ever see. Two more steps, and the same app is running commands on the PC driving the agent. Researchers demonstrated that chain, plus six other attacks, against five open-source mobile agent frameworks: AppAgent, AppAgentX,
Cybersecurity researchers have discovered nearly 7,600 malicious GitHub repositories, out of which more than 800 pose as artificial intelligence (AI) skills or Model Context Protocol (MCP) servers to deliver a malware family known as SmartLoader as part of an ongoing campaign codenamed FakeGit. "FakeGit uses copied projects, lookalike developer profiles, convincing READMEs, and malicious ZIP
Latest
That's exactly what this blog is about, check it out and be careful with what your agents tells you to install...
We pushed .env files with working canary credentials to public GitHub repos - attacker timeline and the gaps in GitHub/AWS automated response
Author here (I run the company behind this - disclosure up front). We committed working canary credentials (AWS, Anthropic, Postgres) to public GitHub repos and logged what happened. Defender-relevant findings: * GitHub flagged the credentials in seconds but sent no email to us; AWS emailed within 2 minutes. * AWS attached AWSCompromisedKeyQuarantineV3 in 15 seconds. It doesn't revoke the key and doesn't block ListSecrets/GetSecretValue. The same source that probed with TruffleHog switched to Boto3 and pulled every Secrets Manager value \~7 minutes after the push. * Every public credential was tried within \~5 minutes. Mix of likely-defensive and not: a GitGuardian user agent from OVH, a Tor exit, and a host that logged into Postgres and read both fake tables. * The two credentials pulled from Secrets Manager were never used during our observation window. Collection and exploitation still look decoupled. No sign yet of an LLM-automated end-to-end chain. Takeaway: platform detection fires after exposure, and quarantine isn't containment. Scan pre-commit; treat first-touch on a planted credential as the real alert. Timestamps, source ASNs, and user agents for each actor are in the post. Happy to answer questions.
The quantum threat is what's keeping "smart money" away, acording to BlackRock. why is Bitcoin doing nothing?
I just watched a podcast episode where BlackRock's Head of Digital Assets Research (Will Su) said the quantum threat is a factor holding back Bitcoin adoption at the institutional level. From his words, "some of the folks that would've certainly come in to engage with Bitcoin have probably held back a bit because of this quantum question," and when the host asked whether the concern is "meaningfully affecting adoption," his answer was: "Yes. 100%." What strikes me from a security perspective is that Bitcoin's quantum migration path is still in early stages. NIST has finalized its PQC standards and other systems are already planning transitions, but Bitcoin has nothing activated yet. The furthest along is BIP 360, but it feels like not much is happening to implement that either. And unlike TLS, where you rotate certs and move on, Bitcoin has millions of coins sitting in exposed-pubkey addresses that can't migrate without each owner acting, plus lost coins that never will. So my question is: given the harvest-now-decrypt-later dynamic and the long lead time any consensus change needs, is the timeline already a problem? Or is the CRQC horizon far enough out that waiting is defensible? Any thoughts? Am I missing something? This is the episode: [https://youtu.be/Puv7Yyymy6M](https://youtu.be/Puv7Yyymy6M)
Apple has moved to address a security flaw in its Hide My Email service that enabled users' real email addresses to be unmasked, effectively undermining the feature's privacy guarantees. 404 Media reported Tuesday that a fix for the issue was deployed by Apple on July 3, 2026, after more than a year, when it was disclosed to the company by Tyler Murphy, co-founder of EasyOptOuts. Hide My Email
'Self-State Attacks' Formalize a New Threat Class: AI Agents Poisoned via Their Own Memory Files, OS Defenses Structurally Insufficient
There is a specific kind of AI security problem that has been sitting in plain sight while everyone argued about prompt injection: what happens when the agent's own state files are the thing that gets poisoned. A \[new paper on arxiv\]([https://arxiv.org/abs/2607.17986](https://arxiv.org/abs/2607.17986)) by Yimeng Chen, Nathanaël Denis, Roberto Di Pietro and Jürgen Schmidhuber gives that failure mode a name, self-state attacks, and asks how far operating system defenses can actually take you against it. The setup is direct. Self-hosted AI agents read and write their own memory and configuration files to function, and the authors' claim is that an agent may get compromised via corruption of its own state, a compromise realized via legitimate OS system call invocation. They formalize the space along four axes, Target (instruction, memory, or configuration), Mechanism (modify, add, delete, deny), Granularity (whole-file down to minimal edits), and Temporal (single-shot through slow-drip), then turn that space into a 23-cell matrix with 43 concrete operations on real self-state files, injected into live activity traces from a representative self-hosted agent running across distinct workload profiles. The empirical result is where the paper earns attention. A layered defense stack, described as access-control prevention on the instruction and configuration layers, workload-conditioned detection on the memory layer, and periodic backup for recovery, handles most of the matrix. Under the authors' recommended configuration, 11 attack cells become visible, 8 become conditionally detectable, and 4 remain what they call structurally indistinguishable at the OS level. Those four concentrate on memory-row writes inside operations-style workload profiles, meaning normal agent behavior and the malicious edit look the same to the kernel. The forward-looking read is what makes this worth watching. If OS-level defense really does have a structural ceiling for agent state, the useful engineering moves up the stack, toward application-layer integrity checks on memory files, canary entries, and signing of the agent's own state. Vendors shipping managed agent runtimes get a cleaner story here than teams telling customers to lock down filesystem permissions and hope.
On July 16, an autonomous AI agent breached Hugging Face's production infrastructure end to end. When Hugging Face tried to investigate, the same guardrails built to stop AI attackers blocked their own responders from analyzing the evidence. Here's what that means for security teams building on AI, and what to test before a breach happens. The post The Hugging Face Breach Lesson on Autonomous AI Attacks appeared first on Synack .
Overview The project management tool Plane, versions 1.3.0 and earlier, contains a multi-tenant authorization bypass vulnerability in its asset-management API that allows unauthorized users to access, delete, or duplicate assets that belong to other workspaces. Description Plane is an open-source project management platform that provides multi-tenant workspace isolation for users to track issues, monitor progress, and manage workflows. The platform's API supports uploading, retrieving, deleting, and duplicating files associated with issues and tasks within a workspace. CVE-2026-15342 Plane's asset-management API endpoints accept workspace slugs and asset identifiers as path parameters, but do not verify that the requesting user is authorized to access the specified workspace. As a result, an authenticated user in one workspace can supply the slug and asset ID of a different workspace when sending requests, which enables them to perform unauthorized read, duplicate, or delete actions on the other workspace's assets. To exploit this vulnerability, an attacker must authenticate to any existing Plane workspace, including their own, and know the slug and asset ID belonging to the victim workspace. These identifiers can be obtained from sources such as public or semi-public issue/board URLs, attachment download links, or exported API data. Impact The ability to bypass workspace-level tenant isolation enables an attacker to exfiltrate sensitive files, destroy project data, and create permanent copies of victim assets inside their own workspace. Solution Unfortunately, the CERT/CC was unable to reach Plane to coordinate this vulnerability, and a patch is not yet available.
America's AI Action Plan puts speed at the center of federal AI policy, reducing regulatory friction and accelerating adoption across government and industry. That same speed expands the AI attack surface just as fast, through new agents, APIs, and tool-calling chains shipped every week. Point-in-time pentests and quarterly assessments cannot keep pace with systems that change that often. AI security testing needs to run continuously and be backed by human-validated evidence. The post America’s AI Action Plan Is About Speed: AI Security Needs to Keep Up appeared first on Synack .
A new type of malware can worm deep into AI coding systems to steal data and logins—and can flip a “death switch” to destroy files and keep out real users.
Hidden text on a web page was enough to make Kiro, AWS's agentic coding IDE, rewrite its own configuration file and run an attacker's code on a developer's machine, with no approval step able to stop it. Intezer, in research with Kodem Security, found that a request as ordinary as asking Kiro to summarize a page could end in remote code execution. AWS has patched the issue, and no CVE has been
Google's DeepMind on Tuesday announced the release of Gemini 3.5 Flash Cyber, a specialized artificial intelligence (AI) model built atop 3.5 Flash that's designed to discover, validate, and patch vulnerabilities quickly and efficiently. According to the tech giant, the model will be exclusively available to governments and trusted partners via CodeMender as part of a limited-access pilot
A third SharePoint Server flaw patched by Microsoft as part of its Patch Tuesday update for July 2026 has come under active exploitation, per watchTowr. The vulnerability in question is CVE-2026-50522 (CVSS score: 9.8), a critical deserialization of untrusted data in Microsoft Office SharePoint that could allow an unauthorized attacker to execute code over a network. Microsoft credited DEVCORE
Threat actors have been observed exploiting a now-patched high-severity Palo Alto Networks PAN-OS vulnerability as an entry point to deploy Qilin (aka Agenda) ransomware on victim environments. Arctic Wolf Labs said it investigated multiple intrusions in June 2026 that began with the exploitation of CVE-2026-0257 (CVSS score: 7.8), an authentication bypass flaw affecting the portal and gateway
Zimbra has rolled out fixes to address multiple critical security issues, including a command injection flaw in the Simple Network Management Protocol (SNMP) monitoring component. As many as nine security vulnerabilities have been patched in Zimbra 10.1.20. Topping the list is a command injection vulnerability in the SNMP monitoring component when SNMP notifications are enabled. Also patched
For 96 years, the World Cup has been a global phenomenon, uniting nations and communities through a shared love of sportsmanship. While its popularity is nothing new, what is novel today is how rare a truly collective global experience has become. In an era defined by microtrends and algorithmic bubbles, it is increasingly uncommon for people across most countries to engage in the exact same event. That is precisely the unifying power of the World Cup. Fans from all over the globe reshape their daily routines around these once-in-a-lifetime matchups and storylines — and because Cloudflare operates a global network with 330+ points of presence worldwide, we are in a unique position to see exactly how this global ritual reshaped the world’s online activity throughout June and July 2026. Cloudflare Radar tracks HTTP traffic, DNS, security, and more to highlight global Internet trends. In this blog post we’ll use that data to explore how the World Cup impacted global traffic patterns throughout the tournament’s run. How did the World Cup change our behavior online? To understand how traffic changes throughout a match, we had to establish what it is “normally.” One way to do this is by looking at raw request volumes, or the amount of traffic we see on our network per country. But these amounts vary per country (the amount of daily traffic in the United States is always a larger number than the traffic in Portugal), which makes it difficult to establish a globally applicable baseline. Instead, we defined "normal" using the median traffic of the four preceding weeks: a month-long window that provided a stable, per-minute reference and smoothed out day-to-day noise. We also wanted to know whether traffic rose or fell relative to that baseline, but a plain difference wouldn't let us compare a high-volume country against a low-volume one. Instead, we used the ratio of current to baseline traffic, expressed as a log₂ value
An Android app that can draw over other windows and write to shared storage can slip instructions to the AI agent driving that phone, in text no human eye will ever see. Two more steps, and the same app is running commands on the PC driving the agent. Researchers demonstrated that chain, plus six other attacks, against five open-source mobile agent frameworks: AppAgent, AppAgentX,
Every patch is a confession. The moment a vendor ships a security fix, the diff between the old code and the new code tells anyone watching exactly what was broken and where. Turn that diff back into a working exploit, and you can hit every system that hasn't updated yet. This is N-day exploitation, and it's always been a race: the vendor patches, the clock starts, and defenders try to deploy
A cloud tenant using nothing but ordinary GPU access can push a data center's power draw up and down fast enough to threaten the grid it runs on, with no exploit and no break-in. That is the claim behind Bit2Watt, described by three Zhejiang University researchers in a paper accepted to CHES 2026, the IACR's hardware-security conference, and the evidence splits in two: they measured the power
A security researcher says he has received a significant bug bounty from Meta after discovering a critical vulnerability that exposed customer support data.
Desktop+ Lockscreen Animated Wallpaper Fully RE of WallpaperExtensionKit.framework private apis (Still Buggy)
Dealerships installed alarms in millions of vehicles—and left them in even if the buyer didn’t want them. Now researchers warn they can be hacked to unlock, track, and disable cars.
The ServiceNow AI platform vulnerability tracked as CVE-2026-6875 can be exploited for remote code execution.
Attackers have begun to exploit two critical vulnerabilities in WordPress that, when combined together, enable unauthenticated remote code execution (RCE) and complete compromise of vulnerable websites. The two security flaws, tracked as CVE-2026-63030 and CVE-2026-60137, have been codenamed wp2shell. "By the early hours of Saturday morning (UTC), successful exploitation was already well
Researchers at Sysdig have linked a second attack on the same Langflow server to JADEPUFFER, the AI-agent-driven operator it first documented earlier this month. The same operator has now been spotted deploying ENCFORGE, a new compiled Go ransomware designed to encrypt model weights, vector indexes, training datasets, and other AI infrastructure files across the host filesystem. The entry
Presently sponsored by: CoreView: Misconfigurations in Microsoft 365 leave doors open. Scan your tenant for free?. I reckon this week's video on how Claude is tying together info from UniFi, Home Assistant and the Pi-Hole is an absolute ripper. Or at least the concept is - if ever there was an actual value proposition for AI it's taking lots of noise and converting it into a useful signal. Or, sometimes, it's just helping you see the woods through the trees, and that's exactly what Claude helped me do last night when every Sonos unit in the house refused to connect to any music service. It only took Claude a moment to work out: "you know your Pi-Hole is dead, right?" Uh... I do now! Give it a go, it's pretty awesome (and the Pi-Hole came good with a power cycle on the PoE port).
Automation platforms such as n8n are often introduced as productivity tools: connect a few systems, automate repetitive work, maybe add some AI. Inside a corporate network, however, that framing is incomplete. A self-hosted workflow engine can reach internal systems, execute actions on behalf of users, and hold sensitive credentials. That puts it in the same category as a jump host or a CI/CD runner even though it is usually evaluated and deployed like an ordinary business application. That became very concrete during a recent assessment. A client asked us to pen-test their internal infrastructure, and on the scope list was something I’d only heard about secondhand: n8n, one of those tools that keep surfacing in conversations about AI-powered automation. I’d never touched it before, and I went in without assumptions. That turned out to be the right posture: what surprised me was not what n8n can do for productivity, but the gap between how it is presented and what it means to have one sitting inside a corporate network. That gap matters because the pressure to adopt these tools is real. The past two years have produced a relentless stream of platforms promising to transform how businesses work, and the message is often the same: automate faster, integrate more, add AI, or fall behind. But speed of adoption and depth of security evaluation rarely move together. Tools are integrated into production based on what they promise to enable, not on a clear understanding of what they can reach, execute, or expose. n8n is my worked example here because it is the one I assessed, but the pattern is general. Before deploying any platform of this kind, five questions decide whether it can be operated safely: Which systems can it reach?
Threat actors are now exploiting a recently disclosed critical security flaw impacting ServiceNow AI Platform, according to Defused Cyber. In a post shared on X, the threat intelligence firm said it's observing in-the-wild exploitation of CVE-2026-6875 (CVSS score: 9.5), a sandbox escape vulnerability that could allow an unauthenticated user to run arbitrary code. Patches for the flaw were
With the new Intelligence Dashboard, pin any combination of CVEs, tags, countries, IPs, and GNQL queries into one persistent, always-current view.
Starting today, Cloudflare Internal DNS is generally available. Cloudflare Internal DNS provides authoritative and recursive DNS for private networks on the same global network and control plane customers already use for public DNS, Zero Trust, networking, and application services. Internal DNS — sometimes also referred to as private DNS — is one of the last pieces of enterprise infrastructure still managed separately from the rest of the network. Many organizations operate one platform for public DNS, another for internal DNS, and use cloud-native DNS services inside each cloud environment with separate security policies layered on top. None of these systems share a common control plane. Split-horizon DNS adds another layer of complexity, often requiring multiple DNS environments to remain synchronized so internal and external users receive different answers for the same hostname. When those systems drift, outages follow. With Cloudflare Internal DNS, you get a single platform to manage public and private DNS resources, enforcing DNS policies and gaining visibility across your entire DNS stack. For Enterprise customers, this is included with Cloudflare Gateway without any additional charge. Why customers are adopting Internal DNS Consolidate DNS operations . Public and private DNS run on one platform, with one API, one audit trail, and one place to set policy. The appliance refresh cycle and the scaling bottlenecks that came with legacy DNS go away. Simplify split-horizon DNS . Internal and external resolution are defined as separate views over shared zones, managed from a single control plane. There are no parallel systems to keep in sync, so there's
Regulated enterprises evaluating AI pentesting platforms should assess eight capabilities: FedRAMP Moderate authorization or higher, multi-framework compliance support, human-in-the-loop with agentic AI, verified zero-false-positive findings, bidirectional workflow integrations, self-service launch, auditable coverage visibility, and full offensive security platform capabilities. Vendors who can't clearly distinguish their AI from an automated scanner are likely selling exactly that. The post The AI Pentesting Platform Checklist for Regulated Enterprises appeared first on Synack .
Cybersecurity researchers have discovered nearly 7,600 malicious GitHub repositories, out of which more than 800 pose as artificial intelligence (AI) skills or Model Context Protocol (MCP) servers to deliver a malware family known as SmartLoader as part of an ongoing campaign codenamed FakeGit. "FakeGit uses copied projects, lookalike developer profiles, convincing READMEs, and malicious ZIP
A newly discovered espionage implant has been using a hijacked Microsoft 365 calendar as its command channel, planting operator instructions and smuggling out stolen files as attachments on calendar events dated to the year 2050. Group-IB, which named the malware HollowGraph, says the approach moves tasking and stolen data through legitimate Microsoft Graph API traffic, so the activity looks
A single request should not be able to do this much. But this week, small inputs led to code execution, memory loss, stolen keys, and disabled security tools. The paths were often simple: exposed systems, weak checks, old drivers, fake prompts, and public code used for malware delivery. Some bugs were new. Others were already being used before defenders had time to patch. Here is the full
A new **13Cubed** episode is out! In this episode, we'll look at a tool that can run multiple Volatility 3 plugins simultaneously, automating your memory analysis and saving you valuable time during investigations. Watch now: [https://www.youtube.com/watch?v=0GMTydimOP4](https://www.youtube.com/watch?v=0GMTydimOP4) More at [youtube.com/13cubed](http://youtube.com/13cubed)
At least one Russian intelligence service is systematically hijacking internet-connected security cameras across Europe and Ukraine, using the feeds to watch military transport routes, weapons shipments bound for Kyiv, and the locations of Ukrainian troops. That is the finding of a cybersecurity advisory published July 10 by the AIVD and MIVD, the Netherlands' civilian and military intelligence
The industry spent the initial months after Anthropic's April 7 Mythos reveal focused on volume. How many new CVEs would Mythos add to an already overloaded pipeline? How quickly would the flood of AI-driven discovery overwhelm triage capabilities? How long would it take adversaries to weaponize Mythos findings at scale? Those questions were and remain valid. Yet they all stop short of
A new toolkit for attorneys in Massachusetts targets the technologies police use—and conceal—to build criminal cases, from facial recognition to AI-written police reports.
A first-of-its-kind analysis found more than one in eight apps built for US service members carried foreign code—some from firms in nations the Pentagon designates as adversaries.
To reduce the amount of noise from questions, we have disabled self-posts in favor of a unified questions thread every week. Feel free to ask any question about reverse engineering here. If your question is about how to use a specific tool, or is specific to some particular target, you will have better luck on the [Reverse Engineering StackExchange](http://reverseengineering.stackexchange.com/). See also /r/AskReverseEngineering.
Plus: Russian cyberspies turn to infrastructure hacking, DHS repeatedly fails to realize it’d been hacked, a breach exposes an AI music generator’s scraping ways, and more.
Hello everyone, A few months ago I shared my open database of malicious browser extensions. I'm happy to say it has now grown to **over 500 malicious CRX samples**. It started as a small research project, but it's continued to grow as I discover and collect more malicious extensions. My goal is to make it a useful resource for researchers, students, and anyone interested in browser extension security. One thing I'm working on next is making the data easier to consume in other tools. At the moment I'm considering exposing it in formats such as: * JSON * CSV I'm also thinking about adding things like an API or threat-intelligence style feeds if people think they'd be useful. I'd love to hear your thoughts: * What format would you actually use? * Are there any security tools or platforms you'd like to integrate it with? * Is there any metadata you'd find useful that I'm currently missing? Repository: [https://github.com/GherardoFiori/MaliciousBrowserExtensions](https://github.com/GherardoFiori/MaliciousBrowserExtensions?utm_source=chatgpt.com) **Please remember these are live malicious browser extensions. Handle them with care.** Project: [https://exterminai.com/](https://exterminai.com/) Any feedback is appreciated. Thanks!
“Context bombing” tricks malicious AI agents into shutting down before they can do harm.
White House launches AI-driven "Gold Eagle" clearinghouse to centralize public-private vulnerability coordination
The White House recently announced the **Gold Eagle Initiative**, a new federal program designed to use AI to centralize, prioritize, and accelerate vulnerability patching across critical infrastructure, government agencies, and tech partners. Operating out of CMU's Software Engineering Institute, it essentially acts as an AI-driven **clearinghouse to fix security flaws** before threat actors can exploit them. Because let's face it, our current bug reporting and patching systems are absolute speed demons. It only takes a **lifetime** 🤦🏻♂️ or two to get a critical vulnerability acknowledged and fixed, so why change anything? Btw, my candid opinion about the status of current vulnerability reporting is painfully slow, so we desperately need a framework that actually moves at the speed of the threat landscape. I think this initiative is genuinely a good idea and a step in the right direction, though the announcement is still light on the exact technical implementation. I’m personally eager to see what will happen in practice, but it is definitely an impressive concept. What are your thoughts on this? Will an AI-coordinated pipeline actually help scale response times, or is it just going to generate massive noise and triage fatigue for overworked infosec teams?
Cloudflare has deployed new Web Application Firewall (WAF) protections for two critical vulnerabilities affecting WordPress. The protections address an Unauthenticated Remote Code Execution (RCE) vulnerability in WordPress's REST API and a related SQL Injection vulnerability. The WordPress security team disclosed the vulnerabilities to Cloudflare before public release so that we could prepare protections for customers. Cloudflare has deployed the new rules to protect all customers, including those on free and paid plans, as long as their application traffic is proxied through the Cloudflare WAF. The rules were deployed at 17:03 UTC on July 17 2026. WAF protections reduce exposure while customers update, but they are not a substitute for patching. WordPress has released fixes in version 7.0.2, with backports to affected earlier branches: 6.9.5, 6.8.6, and 7.1 Beta 2 ( see release details ). Versions earlier than 6.8 are not affected. WordPress is treating this as its highest-severity, highest-priority class of issue and is forcing automatic updates to affected sites, so most sites will be updated automatically. We still recommend confirming that you are on a patched release or the backports for your branch and follow the guidance in the official WordPress security release announcement . What you need to know The vulnerabilities affect different parts of the request path: CVE-2026-60137: SQL injection. A vulnerability in WordPress version 6.8 and later allows crafted input to alter a database query. Rating High. CVE-2026-63030: Unauthenticated remote code execution. A vulnerability in WordPress version 6.9 and later allows an unau
A man from Florida got arrested, allegedly behind the PirateFI and Blockblasters Crypto stealer attacks. The second Game stole 150k from a cancer Patient. https://www.tomshardware.com/tech-industry/cyber-security/fbi-arrests-florida-man-in-steam-malware-investigaton-after-tracing-stolen-bitcoin-to-uber-eats-gift-cards
The City Attorney’s Office sent the tech giants cease-and-desist letters this week telling them to stop profiting from 13 “face-swap” apps that are overwhelmingly used to target women and girls.
If Microsoft Defender quarantines BrowserModifier:Win32/MediaArena on one of your endpoints, the alert reads like a win. Our SOC data says treat it as a live persistence incident instead. In the case we timed, the payload finished writing its persistence 21 seconds into execution. Quarantine didn’t complete until 29 seconds. By the time the alert fired, […] The post MediaArena malvertising: why a quarantine isn’t the end of the incident appeared first on Heimdal Security Blog .
Overview A denial-of-service (DoS) vulnerability exists in some HTTP/2 server implementations that fail to adequately limit resource consumption when buffering response data under stalled flow-control conditions. A remote, unauthenticated attacker can trigger memory exhaustion and service interruption by using standard flow-control parameters such as SETTINGS_INITIAL_WINDOW_SIZE = 0 to stall outbound data for multiple simultaneous request streams. Description HTTP/2 is a widely used application-layer protocol that supports multiplexing, header compression, and flow-control mechanisms to regulate the transmission of data between web browsers and servers. Flow control is designed to prevent senders from overwhelming receivers and relies on client-advertised window sizes to determine the maximum volume of unacknowledged data that can be in transit at any given time. A client can intentionally stall outbound flow control by withholding WINDOW_UPDATE frames or by advertising SETTINGS_INITIAL_WINDOW_SIZE = 0 . In some HTTP/2 implementations, the server continues processing requests and generating complete response bodies even though it is unable to transmit them. The resulting response data remains buffered in memory, and each stalled stream retains its allocated buffer until the connection closes or a timeout occurs. An attacker can exploit this behavior by opening many simultaneous streams and requesting large resources, causing the server to accumulate large amounts of buffered response data. In environments with permissive resource limits, this can lead to excessive memory consumption, swap exhaustion, service instability, and, in severe cases, system crashes. Even under more conservative limits, the attack can exhaust worker or connection resources and de
Most security teams underestimate what it costs to build an AI pentesting solution in house. People, AI token costs, infrastructure, and compliance gaps add up faster than the initial business case accounts for, and the hidden bill usually arrives in year two. I’ve been hearing the same question from security leaders lately. They’re all asking […] The post The Hidden Costs of Building an AI Pentesting Solution appeared first on Synack .
RFC 8628's device authorization grant lets a TV or CLI "poll" for login on a second screen. On Google's implementation, the entire session was transferable across browsers, the authorization server never checked that the client\_id and scope in the consent URL matched the ones the device\_code was issued for, and prompt=none turned the whole thing into a one-click, invisible account takeover.
Thalha Jubair, 20, and Owen Flowers, 19, sentenced to five and a half years each for cyber-attack that cost Transport for London £39m The data of millions of commuters was stolen, Londoners were left out of pocket and 27,000 Transport for London staff were forced to reset their passwords. Over four days in 2024 a pair of teenage hackers had London’s transport network at their mercy. Thalha Jubair and Owen Flowers had burrowed into the heart of Transport for London’s IT systems and held the “keys to the kingdom”. Continue reading...
‘Malicious actor’ obtains sensitive data including Medicare numbers, treatment details and pathology results in cyber-attack on Partnered Health Follow our Australia news live blog for latest updates Get our breaking news email , free app or daily news podcast Australians’ medical records and patient information could be sold on the hidden market, an expert has warned, after a cyber-attack at one of the nation’s biggest healthcare providers. Partnered Health revealed 21 clinics across several cities including Sydney, Melbourne and Canberra were affected when a “malicious actor” accessed its data on 23 June. Continue reading...
Since WIRED reported on Meta’s NameTag face recognition system, company executives have made confusing and conflicting remarks about its very existence.
Veto: Open-source, mobile and NATIVE VirusTotal client for quick file and URL analysis (Testers needed)
Hi r/Malware, If you ever need to quickly scan a suspicious file, URL, or installed application on an Android device using VirusTotal, I have built an open-source client called Veto. It lets you run queries using your own API key directly from your mobile device. GitHub: [https://github.com/ProfessorQuantumUniverse/Veto](https://github.com/ProfessorQuantumUniverse/Veto) I am currently trying to release the app on Google Play and need to fulfill Google's closed testing period. If you would like to test this tool, please consider opting in. Steps to join: 1. Join a Google Group: [veto\_android@googlegroups.com](https://groups.google.com/g/veto_android) 2. Opt-in link: [https://play.google.com/apps/testing/com.quantum\_prof.vtscansuite](https://play.google.com/apps/testing/com.quantum_prof.vtscansuite) 3. Play Store link: [https://play.google.com/store/apps/details?id=com.quantum\_prof.vtscansuite](https://play.google.com/store/apps/details?id=com.quantum_prof.vtscansuite) Feedback from malware analysts is highly valued!
VU#529388: Privilege escalation vulnerability via unprotected IOCTL interface in Pegatron Tdelo64.sys
Overview A privilege escalation vulnerability exists in the tdeio64.sys driver due to an unprotected input/output control (IOCTL) dispatch routine that fails to validate the origin and permissions of user-supplied requests. An unprivileged local attacker can abuse exposed IOCTL dispatch routines [RM1.1][MB1.2]to perform arbitrary kernel memory read and write operations, ultimately obtaining NT AUTHORITY\SYSTEM privileges and compromising the security of the affected system. Description The tdeio64.sys driver distributed by Pegatron Corporation, a Taiwanese electronics manufacturer that produces motherboards and OEM components, is a Windows Driver Model (WDM) driver that provides low-level access to system I/O ports and hardware components. The driver exposes the \\.\TdeIo device interface and processes privileged IOTL requests without enforcing adequate access control or validating user-supplied memory addresses. CVE-2026-14961 By sending a crafted DeviceIoControl request, an unprivileged attacker can abuse the driver's IOCTL dispatcher to perform arbitrary kernel memory reads and writes. This capability can be used to overwrite the current process token with the SYSTEM process token, resulting in privilege escalation to NT AUTHORITY\SYSTEM . CVE-2026-14960 In addition to arbitrary kernel memory access, the driver exposes IOCTLs capable of interacting directly with hardware I/O ports. An attacker who successfully exploits these interfaces may be able to manipulate hardware resources in ways that extend beyond normal operating system protections. Impact &l
Overview Two distinct cryptographic signature verification vulnerabilities exist in Digital Bazaar node-forge, a widely used JavaScript library implementing cryptographic primitives for Node.js and browser environments. These vulnerabilities allow attackers to forge RSA (PKCS#1 v1.5) and Ed25519 signatures under specific, exploitable conditions. Description Both vulnerabilities stem from insufficient enforcement of canonical cryptographic structures during verification: in the RSA case, non-standard ASN.1 encodings and undersized padding are accepted; in the Ed25519 case, non-canonical signature scalars are not rejected. As a result, node-forge accepts signatures that appear valid internally but are rejected by industry-standard libraries such as OpenSSL and Node.js’s native crypto module. The vulnerabilities affect node-forge versions 0.1.2 through 1.3.3 for RSA-PKCS#1 v1.5, and 0.7.4 through 1.3.3 for Ed25519. Both issues were resolved in v1.4.0, released on 2026-04-05. CVE-2026-33894 arises in lib/rsa.js , where RSASSA-PKCS1-v1_5 verification accepts forged signatures due to two related flaws. First, the ASN.1 parser for DigestInfo permits non-canonical encodings—specifically, structures with more than the two required fields (algorithm OID and octet string), including attacker-controlled additional data. Second, the PKCS#1 v1.5 decoding logic fails to enforce the RFC 2313 requirement that the padding string ( PS ) must be at least 8 bytes . These combined weaknesses enable attackers to construct specially crafted signatures, particularly with low public exponents (e.g., e = 3 ), that node-forge validates successfully while standard implementations correctly reject them.
https://unit42.paloaltonetworks.com/tuxbot-v3-evolution-iot-botnet/ TuxBot v3 Evolution: an IoT botnet-as-a-service framework built with LLM-generated code, shipped with the AI’s chain-of-thought and safety disclaimers still in the source
# Romanian Government Cadastre (ANCPI) cyber attack A very serious ransomware attack is underway on the networks of ANCPI, Romania’s national cadastre agency. Our close monitoring of the threat actor Bytetobreach — who carried out a similar attack last month on Latvia State Forests — detected simultaneous uploads on dark web forums regarding this incident. These claims were later confirmed on ANCPI’s official website. What was described as a “small technical incident” in yesterday’s press release has suddenly been recharacterized by ANCPI itself as “the most serious technical incident in the institution’s history.” Sources : [https://www.ancpi.ro/](https://www.ancpi.ro/) (official press releases ) [https://pwnforums.st/Thread-DATABASE-RO-Thy-arss-shall-be-spanked-Romania-ANCPI](https://pwnforums.st/Thread-DATABASE-RO-Thy-arss-shall-be-spanked-Romania-ANCPI)[https://spear.cx/Thread-Selling-RO-Thy-arss-shall-be-spanked-Romania-ANCPI](https://spear.cx/Thread-Selling-RO-Thy-arss-shall-be-spanked-Romania-ANCPI)
Presently sponsored by: CoreView: Misconfigurations in Microsoft 365 leave doors open. Scan your tenant for free?. "Build a smart home", they said. "It'll make life so much better", they said. Well, life wasn't very bloody good at 23:00 the other night after travelling 33 hours from Paris only to find the IoT doorlock batteries dead and the 9V "jump start" procedure completely failing! Eventually, the locksmith arrived and opened an old-school physical lock on another door in an alarmingly short time. So, lessons: Battery-powered locks suck and will eventually lock you out of your house Don't trust a fallback mechanism as rudimentary as "hold a 9V battery on some terminals" Always have an old school manual backup approach, AKA "a key" As I say in the video, we do have other doors that have keys, and if it weren't for the complacency we developed, we would have had one of these accessible. But alas, we didn't. The path forward is to take a deep dive into Ubiquiti's Access ecosystem , which I've flagged in the past, and by pure coincidence, I already had a meeting lined up with them to discuss just this. So, the hardware is on the way, and I'll have something entirely new to play with in the coming weeks. Stay tuned!