[SECURITY] Fedora 45 Update: golang-x-perf-0-0.36.20260904git19be9d8.fc45

This package holds the source for various tools related to performance measurement, storage, and analysis. - cmd/benchstat contains a command-line tool that computes and 7 compares statistics about benchmarks. - cmd/benchsave contains a command-line tool for publishing benchmark results. - storag...

Bridging the First-Hour Gap: Evaluating AI Reliability and Benchmarking Deficiencies in Cyber Incident Response for Law Enforcement

The actions of frontline law enforcement officers in the initial hour of a cyber incident play a vital role in determining the ultimate success of an investigation. The minor mistakes they commit might result in irreversible critical impacts. The integrity of the investigation can be compromised,...

dataset-format-benchmark (0.0.10) potentially affected by CVE-2024-5452 via pytorch-lightning (1.9.2)

pytorch-lightning PYPI version 1.9.2 is affected by a known vulnerability. The following packages have a transitive dependency on pytorch-lightning and may be impacted: - dataset-format-benchmark 0.0.10 Source cves: CVE-2024-5452 Source advisory: OSV:PYSEC-2026-3974...

dataset-format-benchmark (0.0.10) potentially affected by CVE-2024-5980 via pytorch-lightning (1.9.2)

pytorch-lightning PYPI version 1.9.2 is affected by a known vulnerability. The following packages have a transitive dependency on pytorch-lightning and may be impacted: - dataset-format-benchmark 0.0.10 Source cves: CVE-2024-5980 Source advisory: OSV:PYSEC-2026-3975...

HOL Guard AI Agent Runtime Security Benchmark

HOL Guard Benchmark is an open source fixture-based benchmark for evaluating security controls applied to AI coding agents. It defines deterministic scenarios covering secret access, risky shell execution, tool poisoning, approval handling, safe operations, and receipt generation across Codex CLI...

CS-Guard: Benchmarking LLM Guardrails for Code Generation Security

Large language models LLMs have been ex- ploited to generate malware, but the effective- ness of guardrails for code generation secu- rity remains unclear. We introduce CS-Guard, the first benchmark to systematically evalu- ate guardrails for code generation security. It covers 1 text-to-code...

Benchmark Scores Are Pipeline-Dependent: A Reliability Audit of Cybersecurity LLM Benchmarks

Large language model LLM benchmarks are often treated as fixed datasets with stable scores, yet their outcomes depend on configurable evaluation pipelines. We audit eight cybersecurity benchmarks across 10 proprietary, open-weight, and cybersecurity-specialized LLMs. By modeling benchmarks as...

Staying on the Attack Path: Structured State for Long-Horizon Automated Penetration Testing

Large language model LLM based agents are increasingly applied to cybersecurity tasks such as vulnerability discovery and automated penetration testing. On long-horizon security tasks, however, such agents remain limited by context forgetting and intent drift: early critical facts and causal...

Benchmarking LLMs for Threat Level Determination

The fast progress of large language models LLMs opens new opportunities in the management of cyber threat intelligence, but their reliability for operational tasks remains unclear. In this work, we benchmark LLMs on the task of threat level determination. First, we construct a curated dataset...

VEX-Bench: Benchmarking LLM Agents for Assessing Exploitability of Software Supply Chain Vulnerabilities

The software supply chain has become an increasingly exposed attack surface because of its reliance on intricate yet fragile dependencies. Existing defenses such as GitHub Dependabot often raise many false alerts because their coarse-grained matching cannot determine whether a vulnerable dependen...

MOLE: Detecting Insider Threats in AI Agents

Model misalignment, prompt injection, or operator misuse could lead AI agents operating frontier-lab accounts to exfiltrate model weights, poison training data, or weaken release gates. Existing benchmarks do not test whether defenders can detect this activity among routine work under a limited...

AgentDrift: A Step-Labeled Benchmark of Injection-Hijacked LLM Agent Trajectories

LLM agents complete tasks by issuing sequences of tool calls, and every observation they read is a channel through which an indirect prompt injection can enter. A successful injection has a characteristic shape when the trajectory is read in order: a benign prefix gives way to actions that serve...

exploitgym-unified

ExploitGym Unified Runner - 898 instâncias + Dashboard Live R...

rscrypto v0.9.0

rscrypto rscrypto is a Rust library of cryptographic primitives, hashes, password hashing, and checksums. One feature model controls all of them. Portable Rust is the reference implementation. SIMD and assembly backends make it faster on supported targets. Production builds do not depend on C, FF...

ActBench v0.1.0

ActBench ActBench is a self-evolving benchmark of behavioral safety in cowork agents. It defines behavioral safety as whether an agent's execution remains within the permissions and state changes required by a benign task, and evaluates realized behavioral risk from execution trajectories rather...

Malicious Package

Overview benchmark-epsilon-runtime-authenticate-slow is a malicious package. This package contains malicious code, and its content was removed from the official package manager. While this package might be attempting to impersonate a valid organization, there is no connection between that...

Malicious Package

Overview benchmark-refactor-secure-scale-array is a malicious package. This package contains malicious code, and its content was removed from the official package manager. While this package might be attempting to impersonate a valid organization, there is no connection between that organization...

Malicious Package

Overview benchmark-deserialize-mu-epsilon-shell is a malicious package. This package contains malicious code, and its content was removed from the official package manager. While this package might be attempting to impersonate a valid organization, there is no connection between that organization...

Same Request, Different Boundary: Evaluating Cybersecurity Assistance across Conversational Contexts

Large Language Models LLMs can solve complex problems, but their misuse in high-risk domains can lead to severe consequences. Model providers therefore restrict assistance for potentially harmful requests. Refusing all cybersecurity requests would therefore harm legitimate users. Providers need a...

Beyond the Payload: How User Invocation Shapes Coding Agent Vulnerability to Repository Poisoning

Coding agents are increasingly used for software engineering tasks, including bootstrapping projects from third-party repositories whose integrity cannot be assumed. Prior work on repository poisoning largely focuses on attacker-controlled injection and disguise, but developers also shape risk...