Cybersecurity News and Vulnerability Aggregator

Cybersecurity news aggregator

Top Cybersecurity Stories Today

The Hacker News 12h ago
CVE

Cybersecurity researchers have disclosed details of a vulnerability in the Linux kernel that remained undetected for nine years. The vulnerability, tracked as CVE-2026-46333 (CVSS score: 5.5), is a case of improper privilege management that could permit an unprivileged local user to disclose sensitive files and execute arbitrary commands as root on default installations of several major

The Hacker News 8h ago

Microsoft has disclosed that a privilege escalation and a denial-of-service flaw in Defender has come under active exploitation in the wild. The former, tracked as CVE-2026-41091, is rated 7.8 on the CVSS scoring system. Successful exploitation of the flaw could allow an attacker to gain SYSTEM privileges. "Improper link resolution before file access ('link following') in Microsoft Defender

Latest

Thursday, May 21
Synack Just now

Key Takeaways Vulnerabilities Report Offers Key Industry Benchmarks How does your MTTR hold up against the industry average? And does your organization encounter more high/critical vulnerabilities than others in your industry? Those are just a few questions that our 2026 State of Vulnerabilities Report answers. The report analyzes more than 11,000 vulnerabilities surfaced through the […] The post The 2026 State of Vulnerabilities Report: Industry Insights appeared first on Synack .

r/netsec 3h ago

CVE-2026-34474 covers a pre-auth credential disclosure in ZTE ZXHN H298A 1.1 and H108N 2.6 router web interfaces. The short version: an ETHCheat branch returns credential-bearing HTML before authentication. The captured fields include the admin password, WLAN PSK, and ESSID, and a companion wizard endpoint exposes serial data. The writeup keeps the PoC output redacted and focuses on the response behavior, affected scope, and disclosure trail.

r/cybersecurity 4h ago
CVE

I tried to remove my data from a website that used a company called "FaceTec" for verification and "security reasons". They forced me to verify but for some reason it did not pass, I then escalated to support, and after some back-and-forth [the support rep sent me a photo of a FaceTec dashboard used to store people’s biometrics,](https://ibb.co/x8YJ4G3s) it showed that my verification was denied, and showed mine and other people’s faces. I've blurred them but that part was kind of scary and surprising. So, alongside Discord and Persona, it seems that this 'FaceTec' also stores biometrics (at least on the client side). I looked into their policy later and it appears to be the case. This isn’t the first time something like this has happened, last year a company sent me a video of a Zendesk session after I kept complaining about my data, not sure why both reps would do this thought.

The Hacker News 5h ago

Cybersecurity researchers have disclosed details of a new Linux malware dubbed Showboat that has been put to use in a campaign targeting a telecommunications provider in the Middle East since at least mid-2022. "Showboat is a modular post-exploitation framework designed for Linux systems, capable of spawning a remote shell, transferring files, and functioning as a SOCKS5 proxy," Lumen

The Hacker News 7h ago

This week starts small. A token leaks. A bad package slips in. A login trick works. An old tool shows up again. At first, it feels like the usual mess. Then you see the pattern: attackers are not always breaking in. They are using the parts we already trust. That is what makes it worrying. The danger is in normal things now - updates, apps, cloud buttons, support chats, trusted accounts. AI

r/cybersecurity 7h ago

This should hopefully reduce the spread of the recent Shai Hulud attacks on npm but they are reliant on you catching the bugs in transit meaning you need to assume still that packages are compromised (I know, bummer). Think of it more as a reduction in spread rate the a treatment or cure.

The Hacker News 8h ago

Microsoft has disclosed that a privilege escalation and a denial-of-service flaw in Defender has come under active exploitation in the wild. The former, tracked as CVE-2026-41091, is rated 7.8 on the CVSS scoring system. Successful exploitation of the flaw could allow an attacker to gain SYSTEM privileges. "Improper link resolution before file access ('link following') in Microsoft Defender

The Hacker News 9h ago

Consider a cached access key on a single Windows machine. It got there the way most cached credentials do - a user logged in, and the key stored itself automatically. Standard AWS behavior. No one misconfigured anything or violated a policy. Yet that single key, which was easily accessible to a minor-league attacker, could have opened a path to some 98% of entities in the company's cloud

r/Malware 10h ago

I just wrapped a 99‑fixture adversarial PE corpus for IOCX — deterministic, spec‑aware, malformed‑but‑parseable binaries, each isolating a single structural anomaly. The whole thing is only 250 KB and it already helped tighten up an unreleased validator. IOCX now walks even the most pathological PEs with confidence. Honestly, this is the most fun I’ve had with PE internals in years. Happy to share details if anyone’s curious. Github: [https://github.com/iocx-dev/iocx](https://github.com/iocx-dev/iocx)

The Hacker News 12h ago
CVE

Cybersecurity researchers have disclosed details of a vulnerability in the Linux kernel that remained undetected for nine years. The vulnerability, tracked as CVE-2026-46333 (CVSS score: 5.5), is a case of improper privilege management that could permit an unprivileged local user to disclose sensitive files and execute arbitrary commands as root on default installations of several major

The Hacker News 15h ago

GitHub on Wednesday officially confirmed that the breach of its internal repositories was the result of a compromise of an employee device involving a poisoned version of the Nx Console Microsoft Visual Studio Code (VS Code) extension. The development comes as the Nx team revealed that the extension, nrwl.angular-console, was breached after one of its developers' systems was hacked in the

The Hacker News 16h ago
CVE

Drupal has released security updates for a "highly critical" security vulnerability in Drupal Core that could be exploited by attackers to achieve remote code execution, privilege escalation, or information disclosure. The vulnerability, now tracked as CVE-2026-9082, carries a CVSS score of 6.5 out of 10.0, per CVE.org. Drupal said the vulnerability resides in a database abstraction API that is

Wednesday, May 20
The Hacker News May 20
CVE

Microsoft has unveiled two new open-source tools called RAMPART and Clarity to assist developers in better testing the security of artificial intelligence (AI) agents. RAMPART, short for Risk Assessment and Measurement Platform for Agentic Red Teaming, functions as a Pytest-native safety and security testing framework for writing and running safety and security tests for AI agents, covering

r/blueteamsec May 20

After my last post on the death of the 90-day window ([https://blog.himanshuanand.com/2026/05/the-90-day-disclosure-policy-is-dead/](https://blog.himanshuanand.com/2026/05/the-90-day-disclosure-policy-is-dead/)), the loudest critique I got was: 'Great complaint, what's the proposal?' This is the proposal. It is an informal RFC on how we actually have to change engineering architecture when LLM-assisted bug hunting means the exploit lands before the patch. No magic vendor tools, just strict egress rules, ephemeral infrastructure (burning containers every 12 hours) and rootless runtime sandboxing. Curious to hear where you think this approach breaks down.

r/blueteamsec May 20

Every detection program starts with LSASS dump detection. Most stop there. The problem: an attacker who hits ASR LSASS protection, PPL, or Credential Guard pivots to techniques that never touch LSASS. Kerberoasting, DCSync, SAM hive extraction, and DPAPI abuse each target a different credential store, generate different telemetry, and need a different rule. If you only detect LSASS access, you detect only the attacker who didn't adapt. I wrote up the 5 credential access techniques we see most often in real environments, with the actual KQL and Sigma rules for each: **1. LSASS memory access** — filtering on GrantedAccess mask (0x1010 vs 0x1000) instead of process name. Process name exclusions break on renamed binaries. The access mask doesn't lie. **2. Kerberoasting** — Event ID 4769 with encryption type 0x17 (RC4). Legitimate Kerberos uses AES. A burst of RC4 TGS requests from one source = Kerberoasting. Threshold: >3 unique services in 5 minutes. **3. DCSync** — Event ID 4662 with the three replication GUIDs, from a non-DC. This is near-zero false positive if you maintain a DC allowlist. Any non-DC requesting DS-Replication-Get-Changes is a confirmed incident. **4. SAM/NTDS extraction** — command-line patterns: `reg save` targeting SAM/SECURITY/SYSTEM hives, `ntdsutil` IFM creation, `vssadmin create shadow`, `esentutl` copying ntds.dit. DeviceProcessEvents with ProcessCommandLine matching. **5. DPAPI secrets** — the one nobody covers. Browser passwords, WiFi creds, RDP saved passwords are all DPAPI-protected and all extractable without touching LSASS. Credential Guard doesn't protect DPAPI. Monitor access to `%APPDATA%\Microsoft\Protect\` by non-system processes. Full writeup with copy-paste KQL, a Sigma rule for Kerberoasting, MDE IdentityQueryEvents alternatives (for environments without DC log forwarding), and false positive analysis for each: [https://training.ridgelinecyber.com/blog/credential-access-detection-beyond-lsass/](https://training.ridgelinecyber.com/blog/credential-access-detection-beyond-lsass/) Happy to answer questions on any of the rules or tuning approaches.

The Hacker News May 20

Cybersecurity researchers have flagged fresh activity from a China-aligned threat actor known as Webworm in 2025, deploying custom backdoors that employ Discord and Microsoft Graph API for command-and-control (C2 or C&C) communications. Webworm, first publicly documented by Broadcom-owned Symantec in September 2022, is assessed to be active since at least 2022, targeting government agencies

The Hacker News May 20

New Industry Data Just Released Suggests Not. On May 19th, 2026, Orchid Security released the results of our Identity Gap: Snapshot 2026. Among the findings, "identity dark matter" (the unseen, unmanaged elements of identity) now overshadows the visible elements 57% vs. 43%. And it couldn't have occurred at a worse time, with enterprises embracing Agent AI with both arms (and unfortunately, as

The Hacker News May 20

AI-generated lookalike domains are now embedded inside the third-party scripts running on your web properties. Here's why your current stack can't see them, and what detection actually requires. Download the CISO Expert Guide to Typosquatting in the AI Era → TL;DR Typosquatting is no longer a user problem. Attackers now embed lookalike domains inside legitimate third-party scripts.

The Hacker News May 20

Microsoft on Tuesday released a mitigation for a BitLocker bypass vulnerability named YellowKey following its public disclosure last week. The zero-day flaw, now tracked as CVE-2026-45585, carries a CVSS score of 6.8. It has been described as a BitLocker security feature bypass. "Microsoft is aware of a security feature bypass vulnerability in Windows publicly referred to as 'YellowKey,'" the

r/netsec May 20

In my day job I do pentest almost everyday and now we are actually using AI agents against real targets like banks, fintech, and saas those are behind paid waf and multilayered infra still just a LLMloop was breaking everything, and the raise of opensource agents are autonomously doing all the pentest without any intervention tools like strix, CAI, hexStrix, people just buy tokens and run pentest now a day even i made a mobile agent loop for my office work. Even the waf methods became old now a simple block won’t stop AI agents from bypassing or trying on other routes even spa application are victim in both blackbox and greybox assessment. So I have built and open sourced it which is called veilgate where it will not block rather have three diff modes observe(scoring each req), challenge(proof of work) and trapit(honeypot) it won’t block any req rather keep on loop and feeding fake vulnerabilities.

Tuesday, May 19
Synack May 19

Key Takeaways What AI Pentesting Means for Continuous Security Validation Every CISO conversation I’ve had this quarter circles back to the same problem: AI produces more vulnerability findings than security teams can read in a week, and it clouds their understanding of which findings are connected to real business risk. This week’s Wall Street Journal […] The post AI Can Find More Vulnerabilities. Humans Still Decide What Matters. appeared first on Synack .

The Hacker News May 19
APT

Cybersecurity researchers have disclosed details of a new ad fraud and malvertising operation dubbed Trapdoor targeting Android device users. The activity, per HUMAN's Satori Threat Intelligence and Research Team, encompassed 455 malicious Android apps and 183 threat actor-owned command-and-control (C2) domains, turning the infrastructure into a pipeline for multi-stage fraud. "Users

The Hacker News May 19

In February 2026, a phishing-as-a-service (PhaaS) platform called EvilTokens went live. Within five weeks, it had compromised more than 340 Microsoft 365 organizations across five countries. The targets of the platform received a message asking them to enter a short code at microsoft.com/devicelogin and complete their normal MFA challenge, then walked away believing they had verified a

r/netsec May 19
CVE

Disclosure: this is my own research/writeup. I reported this ZTE H-series router DoS in 2024; it is now public as `CVE-2026-34473`. The writeup focuses on the root cause rather than just the symptom. The issue is not simply “large POST body kills the UI.” Firmware analysis maps the behavior to CGILua request-body parsing: attacker-controlled `application/x-www-form-urlencoded` POST data reaches body handling before login enforcement matters. The article includes validation footage, affected-model context, disclosure timeline, decompiled parser evidence, and reconstructed public-safe code-path notes. Interested in feedback on the root-cause framing from people who review embedded web stacks or router firmware. open for collabs too.

The Hacker News May 19
CVE

Critical security vulnerabilities have been disclosed in SEPPMail Secure E-Mail Gateway, an enterprise-grade email security solution, that could be exploited to achieve remote code execution and enable an attacker to read arbitrary mails from the virtual appliance. "These vulnerabilities could have been exploited to read all mail traffic or as an entry vector into the internal network,"

Monday, May 18
Krebs on Security May 18

Until this past weekend, a contractor for the Cybersecurity & Infrastructure Security Agency (CISA) maintained a public GitHub repository that exposed credentials to several highly privileged AWS GovCloud accounts and a large number of internal CISA systems. Security experts said the public archive included files detailing how CISA builds, tests and deploys software internally, and that it represents one of the most egregious government data leaks in recent history. On May 15, KrebsOnSecurity heard from Guillaume Valadon , a researcher with the security firm GitGuardian . Valadon’s company constantly scans public code repositories at GitHub and elsewhere for exposed secrets, automatically alerting the offending accounts of any apparent sensitive data exposures. Valadon said he reached out because the owner in this case wasn’t responding and the information exposed was highly sensitive. A redacted screenshot of the now-defunct “Private CISA” repository maintained by a CISA contractor. The GitHub repository that V

r/netsec May 18

Interesting new research you may have heard of on attacking large audio language models. The attack is called AudioHijack and the part worth paying attention to is that adversarial clips built against open models transferred to commercial Microsoft and Mistral systems sharing the same architecture. OpenAI and Anthropic are harder targets but the team thinks shared open-source audio encoders are a viable path in, and they're working on it. The manipulations are shaped to sound like natural reverberation instead of added noise, so you can't really hear them. Threat model only requires controlling the audio the model processes, not the user's prompt. So: poisoned YouTube clips, music, voice notes, Zoom audio fed to transcription, and the team also says they've gotten this working against live voice chats in real time (unpublished). Six attack categories demonstrated. Refusing user requests, returning false info, inserting malicious links, swapping persona, claiming it can't process audio, and triggering unauthorized tool use. On the technical side, two things stood out to me. First, generative audio models tokenize the input, which kills the fine-grained gradient signal older adversarial audio work relied on, so they approximated it. Second, they explicitly hijack the attention mechanism by scoring how much attention the model pays to the adversarial audio vs. the user instruction and feeding that back into the optimization. Defenses are where it gets bleak. Few-shot prompting with examples of malicious instructions cut attack success by 7%. Self-reflection caught 28%. Monitoring internal attention patterns was the only thing that actually worked, and an attacker who knows about it can dial back the attention manipulation and take a small hit to success rate to evade it. Microsoft acknowledged the work and pointed at developer-side mitigations. Mistral didn't respond. Text prompt injection at least leaves visible artifacts. Audio doesn't, and we don't really have a good story for this yet. Thoughts?

r/computerforensics May 18
CVE

Hello. I've shared feedback and blog posts before —some of you may remember-. For some time now, I've been developing a project related to the industry (CS & DFIR/IR), and thanks to the valuable feedback I've gathered from you, I've made significant progress. I'm now in the phase of pre-MVP validation and gathering expert opinions. Thank you in advance, and I apologize if I've caused any inconvenience. Question: The artifact is generated from existing security records and public fixture data. It includes source summaries, reliability reasons, limitation statements, manifests, hash lists, and package verification output. Scope boundaries: - it does not claim legal admissibility; - it does not prove original source truth; - it is not a SIEM, DFIR lab tool, threat detector, or forensic acquisition tool; - it focuses on ingestion-onward integrity and handoff clarity. The question is not "would you buy this product?" The question is whether this kind of package would help during IR, audit, insurance, legal, or internal investigation handoff. Specific feedback I am looking for: 1. Are source reliability and limitations clear enough? 2. Does the artifact separate package integrity from upstream source trust? 3. What uncertainty is still hidden? 4. What would make this misleading or unusable in practice? Artifact repo: https://github.com/tracehound/tracehound-pre-mvp-feedback-artifact Virustotal: https://www.virustotal.com/gui/url/dbdbf56e71c39fcfd158babdbb11b57037fa53b333efa27de619ce919278e66e?nocache=1

CERT/CC May 18

Overview Three vulnerabilities have been discovered in the SGLang project, two enabling remote code execution (RCE), and one regarding a path traversal vulnerability. In order for an attacker to exploit these vulnerabilities, the multimodal generation mode must be enabled, and an attacker must have network access to the SGLang service. No patch is available at this time, and no response was obtained from the project maintainers during coordination. Description SGLang is an open-source framework for serving large language models (LLMs) and multimodal AI models, supporting models such as Qwen, DeepSeek, Mistral, and Skywork, and is compatible with OpenAI APIs. Three vulnerabilities have been discovered within the tool and are tracked as follows: CVE-2026-7301 The multimodal generation runtime scheduler's ROUTER socket contains a sink that calls pickle.loads() on incoming messages, enabling RCE when exposed to the internet. This vulnerability is distinct from CVE-2026-3060 and CVE-2026-3059, which would be open to the Internet via the ZMQ broker, which automatically binded to all network interfaces without user awareness. CVE-2026-7301 is exposed to the internet by default through the scheduler host, which binds to 0.0.0.0 by default. CVE-2026-7302 The multimodal generation runtime is vulnerable to an unauthenticated path traversal vulnerability, allowing an attacker to write arbitrary files anywhere the server process has write access, by including ../ sequences in the upload filename when sent to specific endpoints. CVE-2026-7304 The multimodal generation runtime is vulnerable to unauthenticated remote code execution when the

r/Malware May 18

Came across this really interesting analysis of a pirated Android movie streaming APK called NetMirror and honestly didn’t expect it to go this deep. At first glance the app looked completely normal: clean UI, React Native based, movies streamed properly. But the analysis found: * emulator/sandbox detection for Genymotion, Nox, BlueStacks, VirtualBox, etc. * Base64-encoded infrastructure domains hidden inside the Hermes JS bundle * staged permission handling for SMS and call log access * WebView credential interception hooks * native libraries containing the same tracking infrastructure references The most interesting part was how it bypassed automated analysis. Hybrid Analysis apparently marked it as “safe” because most of the suspicious logic wasn’t in the Java layer scanners usually inspect — it was hidden inside the React Native Hermes bundle and native libraries. Pretty solid example of how modern Android malware is starting to exploit analysis blind spots in cross-platform frameworks. Worth the read: [https://medium.com/@Espress0/the-free-movie-app-that-was-robbing-you-blind-eeefe9c5e65c](https://medium.com/@Espress0/the-free-movie-app-that-was-robbing-you-blind-eeefe9c5e65c) greatly broken down and presented

Troy Hunt May 18

Presently sponsored by: Report URI: Guarding you from rogue JavaScript! Don’t get pwned; get real-time alerts & prevent breaches #SecureYourSite It's a hot topic, the old "pay or don't pay" for hackers not to leak your data. Since recording this a few days ago, we've had Grafana go with the "no pay" approach , and I've seen a raft of commentary around other companies reaching "agreements", which is a much politer way of saying "we paid extortionists a ransom". I'm concerned about the normalisation of ransom payments, and using language that deflects from the criminal nature of it is a big part of that. Instructure's exact words were that they "reached an agreement with the unauthorised actor involved", which really waters down the severity of the whole thing. It looks like, for the time being, "pay or leak" is the new norm... along with nonsensical statements like "the data was returned to us" 路‍♂️

Saturday, May 16
The Guardian May 16

Businesses are advised against paying – but many are prepared to deal to protect users’ privacy After a week of outages, hundreds of millions of students’ data stolen, delayed assignment due dates and school login pages being defaced by hackers, the US tech firm Instructure – which operates the education platform Canvas, used by education providers worldwide – announced it had “reached an agreement with the unauthorised actor” behind the ransomware attack. Experts read the careful language as a sign that a ransom has been paid. The company has not confirmed this. Continue reading...

Friday, May 15
r/Malware May 15

After months of work, I’m excited to finally share [Brovan](https://github.com/AdvDebug/Brovan), my user-mode binary emulator. Brovan can emulate: \* PE binaries \* ELF binaries \* Memory dumps \* Even partially unknown or unrecognized binaries The goal is to make binary analysis, malware analysis and general binary research more flexible by giving full control over execution, memory, and runtime behavior in a contained environment. Building this involved a lot of work around emulation, syscall handling, memory management, binary loading and parsing, and there’s still much more to improve, but it’s finally at a stage where I’m happy to share it.

Synack May 15

Key Takeaways Why Continuous Security Validation Matters California’s evolving privacy regulations are doing more than adding another compliance requirement. They’re changing how organizations think about cybersecurity governance, accountability, and operational resilience. The latest guidance around cybersecurity audits under the California Consumer Privacy Act (CCPA) signals a broader shift happening across the industry: security leaders are […] The post How CCPA Cybersecurity Audits Are Reshaping Cyber Governance appeared first on Synack .

The Guardian May 15

Three-storey GreenSquare datacentre in Hazelmere was to power cloud computing and the acceleration of AI Get our breaking news email , free app or daily news podcast A 15,000 sq metre datacentre near Perth will no longer go ahead after the developer withdrew plans amid community opposition over its impact on culturally significant sites. The three-storey, 120-megawatt GreenSquare datacentre in the town of Hazelmere had been intended to power cloud computing and the acceleration of artificial intelligence, but faced fierce community backlash – as is increasingly common with such developments. Continue reading...

Thursday, May 14
r/computerforensics May 14

Hey everyone - I built a DFIR tool called **RDPuzzle** and would really appreciate feedback from people who have worked with RDP bitmap cache artifacts. It is a local, browser-based workspace for reconstructing 64x64 RDP cache tiles into larger readable images. The main thing it adds is **neural-assisted reconstruction**: instead of only manually placing tiles, RDPuzzle ranks likely neighboring tiles and can auto-stitch regions using edge-similarity scoring plus a local ONNX edge-matching model. Main features: * Loads RDP cache fragments, including BMC/BIN-style inputs * Manual and semi-automatic tile reconstruction * Neural-assisted neighbor suggestions * Auto-stitching of likely adjacent tiles * Fully local/browser-based processing * OCR for recovered text * Session save/load, undo/redo, and image export * Demo dataset included GitHub: [https://github.com/BZDaniel/RDPuzzle](https://github.com/BZDaniel/RDPuzzle) Live version: [https://bzdaniel.github.io/RDPuzzle/RDPuzzle.html](https://bzdaniel.github.io/RDPuzzle/RDPuzzle.html) Remember to enable AI at the top right corner, and also i currently only recommend running the smaller AI model as the large one needs quantization to run realistically in a browser. I’d especially appreciate feedback on workflow, validation concerns, parser edge cases, false-positive matches, and anything that would make it more useful in real forensic work.

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