Revelio: Cost-Efficient Agentic Memory Safety Vulnerability Detection for Repository-Scale Codebases

Memory safety vulnerabilities remain a significant threat even for projects with extensive fuzzing and manual auditing. Recent results suggest that large language models hold great promise for detecting such vulnerabilities, but they are unreliable, at risk of hallucination, and challenging to...

CVE-2025-7737 DoS Vulnerability in 10G iSCSI Interface of Hitachi Virtual Storage Platform

DoS Vulnerability in 10G iSCSI Interface of Hitachi Virtual Storage Platform. This issue affects Hitachi Virtual Storage Platform E990, E1090, E1090H: before DKCMAIN Ver.93-07-21-80/00-05, CHBiSCSI Ver.88-01-02-04, before DKCMAIN Ver.93-07-01-80/00-07, CHBiSCSI Ver.88-01-02-04, before DKCMAIN...

EUVD-2025-210286

DoS Vulnerability in 10G iSCSI Interface of Hitachi Virtual Storage Platform. This issue affects Hitachi Virtual Storage Platform E990, E1090, E1090H: before DKCMAIN Ver.93-07-21-80/00-05, CHBiSCSI Ver.88-01-02-04, before DKCMAIN Ver.93-07-01-80/00-07, CHBiSCSI Ver.88-01-02-04, before DKCMAIN...

Evaluating LLMs for Real-World Web Vulnerability Detection

Large Language Models LLMs have emerged as a promising tool for automated vulnerability detection, yet their effectiveness on web-specific vulnerabilities remains to be explored. This work benchmarks six frontier Claude Opus 4.6, Codex GPT-5.4, Gemini 3.1-pro-preview and open-weight models Qwen...

CNnotator: LLM-Guided Memory Safety Annotation Synthesis

Memory safety errors account for a large proportion of security bugs in systems written in C; modern languages such as Java and Rust prevent such bugs because they are memory-safe by design. To migrate systems to safer languages or identify memory errors, we must first determine how legacy code...

Stop Treating Your LLMs Like Web Servers

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The President’s Executive Actions on AI Have a Lot to Say on Cybersecurity

The spotlight has been on frontier models, but the goals are more far reaching -- including supercharging cyber defense and remediating risk at machine speed...

Multi-View Decompilation for LLM-Based Malware Classification

Malware analysts often inspect compiled binaries through decompiled pseudo-C, when source code is unavailable. Recent work suggests that large language models LLMs can assist this process by classifying decompiled code as benign or malicious, but existing pipelines typically rely on a single...

Lexmark Printers Improper Restriction of Operations within the Bounds of a Memory Buffer (CVE-2018-15519)

Various Lexmark devices have a Buffer Overflow issue 1 of 2. This plugin only works with Tenable.ot. Please visit https://www.tenable.com/products/tenable-ot for more information. %NASLMINLEVEL 80900 C Tenable, Inc. include'compat.inc'; if description scriptid505489; scriptversion"1.4";...

Artificial Intelligence As Game Changer in Cybersecurity: What We Learned in 2025-2026, and How This Is Relevant for Africa

In 2025 and 2026, two events settled questions that had until then been speculative. In the first, a large language model executed the great majority of a state-aligned cyber-espionage campaign on its own, with human operators intervening at only a few decision points. In the second, the most...

Incorrect Authorization

Overview code.gitea.io/gitea/models is a self-hosted git service. Affected versions of this package are vulnerable to Incorrect Authorization in the handling of token scope restrictions in the /api/v1/user route group. An attacker can gain unauthorized access to or modify private account resource...

Microsegmentation: Your Digital First Responder to LLM Threats

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GHSA-V2QM-5WXJ-QHJ7 Open WebUI: Stored XSS to Account Takeover via Model Profile Images

Stored XSS to Account Takeover via Model Profile Images in Open WebUI Affected: Open WebUI tags. On the output side, users.py added a MIME allowlist check and X-Content-Type-Options: nosniff. The fix was applied to UserUpdateForm, UpdateProfileForm, and later to ChannelWebhookForm. Three models...

GHSA-VJQM-6GCC-62CR Open WebUI: Forged model meta.knowledge allows cross-user file read and deletion

Summary Open WebUI lets a user who can create, update, or import workspace models store arbitrary meta.knowledge entries on their model without checking whether they own or can read the referenced files. Open WebUI then treats meta.knowledge entries of type file as an authorization source in two...

Incorrect Conversion between Numeric Types

Overview vllm is an A high-throughput and memory-efficient inference and serving engine for LLMs Affected versions of this package are vulnerable to Incorrect Conversion between Numeric Types in the ggmldequantize, ggmlmulmatveca8, ggmlmulmata8, and ggmlmoea8 functions when tensor dimensions are...

ado-vllm-performance (>=1.2.2, <=1.3.3), caption-flow (>=0.5.0, <=0.5.1) +23 more potentially affected by CVE-2026-12491 via vllm (>=0.11.0, <=0.23.0)

vllm PYPI version =0.11.0, =1.2.2, =0.5.0, =0.3.9.post2, =0.5.2, =0.1.0, =0.2.4, =2.5.3, =0.0.2, =0.1.0, =0.1.0, =0.2.0 and more Source cves: CVE-2026-12491 Source advisory: OSV:GHSA-8JR5-V98P-W75M...

Reachable Assertion

Overview vllm is an A high-throughput and memory-efficient inference and serving engine for LLMs Affected versions of this package are vulnerable to Reachable Assertion via the resolveobjbyqualname function. An attacker can execute arbitrary code by publishing a malicious model with a crafted...

mythox-opencode-cyber

⬡ MYTHOX CYBER OPS — OpenCode Agent Suite 6 agents متخصصو...

TGCM: Topic-Guided Generative Disentanglement of Interleaved APT Technique Sequences

In enterprise environments, multiple Advanced Persistent Threat APT campaigns often unfold concurrently, producing audit logs in which attack techniques across actors sources are interleaved over time. This setting naturally gives rise to an Unknown-K Interleaved Sequence Demixing UKISD problem:...

A Red-Team Study of Anthropic Fable 5 and Opus 4.8 Models

We evaluate the adversarial robustness of two frontier large language models LLMs developed by Anthropic, Fable 5 and Opus 4.8, against four families of automated jailbreak attack across 7 826 harmful intents spanning a ten-category harm taxonomy. Using the HackAgent red-teaming framework, hundre...