EUVD-2026-46178

A flaw was found in libssh. When ProxyCommand is used, an unchecked fork failure can be stored as process ID -1; during cleanup, signals may then be sent across the caller's accessible process tree, leading to local denial of service...

CVE-2026-59845

CVE-2026-59845 describes a vulnerability in the libssh library where, when using the ProxyCommand feature, an unchecked fork() failure can be stored as PID -1. During cleanup, signals may be sent across the caller’s process tree, enabling local denial of service. The Red Hat advisory confirms thi...

PT-2026-61859

Name of the Vulnerable Software and Affected Versions libssh affected versions not specified Description A flaw exists in libssh when using the ProxyCommand feature. An unchecked failure in the fork function can result in a process ID of -1 being stored. During the cleanup process, signals may be...

MAL-2026-10690 Malicious code in qwen-asr-pvt (PyPI)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 68e8b2f6db0443a648cdf03348c8dd9351568469f84b8d61022f1ed1da2a330e The package's pyproject.toml declares an unpinned runtime dependency on transformers4576, a lookalike of the widely used HuggingFace transformers...

patchtriage

PatchTriage !CIhttps://github.com/d01ki/patchtriage/actio...

Malicious code in @mastra/github-signals (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector e263abbd9ed9975f3f8aaecfd1a780616bc3aef00238ed9ba9075b5bf4e38f37 The package was found to contain malicious code or consuming dependency that contains malicious code Source: ghsa-malware...

Malicious code in backoffice-charges-module (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 047eb92a0e8bb401b2c205765616c9b4b715ee7cfd33d2e6ef9dc8d645b77f04 On every npm install, the preinstall lifecycle script node index.js /dev/null 2&1 silently HTTPS-POSTs a JSON payload to https://avamnrwqo7.rbmock.de...

MAL-2026-5612 Malicious code in gpt-sdk (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 8b9bdc5e04979d5b4f73407bcedaecc9df24dbb03e0bfbc0edefe333023dc50c On npm install, postinstall.js runs unconditionally and collects a wide range of installer-side reconnaissance data: hostname and FQDN, contents of...

Reconstructing AI activity in investigations

AI systems are now part of everyday work. Investigators need a consistent way to reconstruct what happened within them. Security teams are already investigating activity involving Microsoft 365 Copilot and Azure AI services—from prompt injection attempts to unexpected data access. Those signals a...

FreeBSD -- sigqueue(2) missing capability mode restriction

Problem Description: sigqueue2 was marked as permitted in capability mode with the introduction of Capsicum in 2011, but the implementation of kernsigqueue did not include a capability mode check restricting signal delivery to the calling process's own PID. Impact: A process in capability mode ca...

RecurGuard: Runtime Monitoring for Reasoning-Token Consumption Attacks

Reasoning-capable large language models can be induced to spend their generation budget on injected decoy tasks rather than answering the user's question, causing denial of service when no final answer is produced and denial of wallet when excess output tokens are billed. Input-side safety...

From Operating Model to Product: How We Built the ROC for Detection-Speed Remediation

In the first article in this series, we made the case for a prevention-led operating model. This article is about what happened next: the decision to build something that did not exist, and what it took to make it real. Turning an operating model into a product sounds straightforward until you ar...

Malicious code in fia-signals (PyPI)

--- -= Per source details. Do not edit below this line.=- Source: kam193 b61c6fe7ba81fd99de703bc1c00e0a93b2809363abfbf12b79fd9905830f2b54 Installing the package or importing the module exfiltrates basic information about the host, and the package has no other purpose. --- Category: PROBABLYPENTES...

ClawHub Security Signals: When VirusTotal, Static Analysis, and SkillSpector Disagree

Agent skills extend AI agents with reusable instructions, tools, scripts, references, and workflows, establishing a security boundary distinct from both model safety and traditional package-malware detection. ClawHub Security Signals is a sanitized dataset of 67,453 latest public OpenClaw skill...

Stateful Online Monitoring Catches Distributed Agent Attacks

Language models can find thousands of severe software vulnerabilities, and agents are increasingly being misused for cyberattacks. To avoid detection, attackers frequently distribute their misuse, splitting a harmful task across many user accounts so each individual transcript looks benign. Becau...

CVE-2026-46187

A flaw was found in the Linux kernel's Redpine Signals RSI Wi-Fi driver. A race condition, which occurs when multiple operations try to access the same resource simultaneously, exists in the management of kernel threads kthreads, lightweight processes within the kernel. This can lead to a...

Less panic patching, more precision

Welcome to this week's edition of the Threat Source newsletter. Recently, Martin closed his introduction with a warning: Ready or not, the time of much patching is coming. I've been chewing on that one for a while because I'm rethinking my own enrichment pipelines along these lines, and the...

Can Big Data Predict Market Movements Accurately?

Can Big Data predict markets? Learn how AI, investor behavior, and digital signals shape modern forecasting across stocks and crypto trends...

Refusal Before Decoding: Detecting and Exploiting Refusal Signals in Intermediate LLM Activations

In this paper, we investigate whether refusal behavior can be predicted from LLM intermediate activations before decoding using linear probes trained on residual stream activations at each transformer block. We find that refusal is linearly decodable well before the final layer, indicating that...

The Importance of Out-Of-Band Metadata for Safe Autonomous Agents: The Redpanda Agentic Data Plane

AI agents are increasingly expected to operate as digital employees: accessing enterprise data, making decisions, and taking actions autonomously. But agents are simultaneously less predictable than humans -- prone to hallucination, misinterpretation, and adversarial manipulation -- and more...