An Automated Framework for Extracting Reachable Attack Chains from Cyber Threat Intelligence Reports

Cyber Threat Intelligence CTI reports richly describe real-world attack processes, but their unstructured narratives cannot be directly used for automated attack-path reasoning. Existing CTI extraction methods focus on indicators, entities, or TTP labels without modeling the execution conditions...

Small, Free, and Effective: Orchestrating Open-Weight Small Language Models to Outperform Single LLM for Malware Analysis

Malware analysis demands rapid interpretation of complex detonation reports spanning filesystem, network, and process behaviours. While large language models LLMs demonstrate impressive capabilities for technical artifact interpretation, the opacity and escalating API costs of closed-weight...

CVE-2026-65012: Missing Authentication for Critical Function

InvokeAI before 6.13.7 contains an unauthenticated directory enumeration vulnerability in the GET /api/v2/models/scanfolder endpoint that accepts attacker-controlled scanpath parameters. Unauthenticated attackers can recursively enumerate arbitrary server filesystem directories and use HTTP...

DARWIN: Evolving Jailbreak Adversary and Guardrail for LLM Safety Evaluation and Protection

Most existing LLM safety evaluation and defense methods follow a static formulation: jailbreak vulnerabilities are evaluated with fixed attack methods, and guardrails are trained on fixed malicious prompt datasets. However, real-world adversaries continuously evolve their capabilities and expand...

Geometric Configurations of Perturbed Jailbreak Prompts

Perturbation techniques that turn unsuccessful jailbreak prompts into successful ones are continuously evolving, constituting a major security threat to LLM safety. In this paper, we investigate the internal representations of such string-level perturbed jailbreak inputs in the small weight model...

Defense against LLM Backdoors Using Critical Neuron Isolation Pruning

Large language models LLMs are vulnerable to backdoor attacks, where hidden triggers induce malicious outputs. Existing defenses generally fall into inference-time detection or training-time mitigation, but face two key limitations. First, they focus on fine-tuning-based backdoors e.g., PEFT...

Evaluating Large Language Models for Symbolic Security Protocol Analysis

Security protocol verification relies on formal tools such as ProVerif and OFMC. This study evaluates whether Large Language Models LLMs can perform comparable analysis. We test GPT and DeepSeek in chat and reasoning modes over three runs on 130 obfuscated AnB/AnBx protocols covering 388 security...

OpenAI Models Escaped Containment and Hacked Hugging Face

The cybersecurity-focused models, including GPT-5.6 Sol, broke out of a testing sandbox, exploited a zero-day, and gained access to the open internet to pull off the attack...

Insertion of Sensitive Information Into Sent Data

Overview Affected versions of this package are vulnerable to Insertion of Sensitive Information Into Sent Data in the ToHook process. An attacker can access sensitive authorization credentials by making authorized API requests as a repository administrator. Remediation Upgrade...

Exposure of Private Personal Information to an Unauthorized Actor

Overview Affected versions of this package are vulnerable to Exposure of Private Personal Information to an Unauthorized Actor in the updateRepository function when a repository is transitioned from public to private via the API. An attacker can access sensitive repository metadata, such as...

Incorrect Authorization

Overview Affected versions of this package are vulnerable to Incorrect Authorization in the handling of API requests to /api/v1/teams/id when using a public-only access token. An attacker can retrieve private team repository metadata and private team activity feed entries by sending API requests...

Incorrect Authorization

Overview Affected versions of this package are vulnerable to Incorrect Authorization through changing a pull request's target branch without re-evaluating the official approval status on existing reviews. An attacker can bypass branch protection requirements and merge code into protected branches...

SUSE CVE-2026-64143

In the Linux kernel, the following vulnerability has been resolved: platform/x86: uniwill-laptop: Do not enable the charging limit even when forced It seems that on some older models 2020 the battery charging limit can permanently damage the battery. Prevent users from enabling this feature thru...

This Week in Spring - July 21st, 2026

Welcome to another installment of This Week in Spring! I'm writing this while enjoying a cup of coffee from the Caribbean on a little PTO. How're you doin'? Whenever I go on PTO, I like to sit by some body of water with a coffee and a laptop nearby. I alternate between plunges in the ocean and...

Find Before You Fine-Tune: A Diagnostic Study of Small LLMs for Cybersecurity QA

Large Language Models LLMs are increasingly fine-tuned for critical-domain Question-Answering QA, yet choosing which small model to adapt, before paying the cost of adaptation, remains difficult. Fine-tuning can improve domain alignment, but it may also erode prior knowledge, weaken...

Hugging Face Says Autonomous AI Agent System Breached Production Infrastructure

An AI-led cyberattack breached limited Hugging Face datasets and service credentials, while public models, Spaces and published packages showed no signs of tampering...

GHSA-33CG-GXV8-3P8G vLLM denial of service via prompt embeds on M-RoPE models

Summary Short summary of the problem. Make the impact and severity as clear as possible. For example: An unsafe deserialization vulnerability allows any unauthenticated user to execute arbitrary code on the server. Sending a pure prompt embeds payload in a /v1/completions request with a model usi...

vLLM denial of service via prompt embeds on M-RoPE models

Summary Short summary of the problem. Make the impact and severity as clear as possible. For example: An unsafe deserialization vulnerability allows any unauthenticated user to execute arbitrary code on the server. Sending a pure prompt embeds payload in a /v1/completions request with a model usi...

World's Largest AI Model Repository Hugging Face Breached by Autonomous AI Agent

In an ironic twist, open-source artificial intelligence AI platform Hugging Face revealed that it was the victim of a hack perpetrated by an autonomous AI agent system. The company said it detected and responded to the incident targeting its production infrastructure earlier last week. "We...

GARAGE: Characterizing the Automation Boundary in LLM-Based Attack Graph Generation

While modern vehicle security depends on effective Cyber Threat Intelligence CTI synthesis, current automated tools struggle with unstructured data and automotive-specific architectural nuances. To bridge this gap, we introduce GARAGE, a RAG-powered framework that converts fragmented CTI into an...