kube-bench

kube-bench is a tool that checks whether Kubernetes is deployed securely by running the checks documented in the...

docker-bench-security

Docker Bench for Security The Docker Bench for Security is a script that checks for dozens of common best-practices around deploying Docker containers in production. The tests are all automated, and are based on the CIS Docker Benchmark v1.6.0. We are making this available as an open-source utili...

GO-2025-3955 vulnerabilities

Vulnerabilities for packages: tempo, tekton-chains, argo-events, kube-bench, ko, cis-operator, kubernetes-csi-driver-nfs, docker-credential-gcr, delve, kubernetes-csi-external-health-monitor, hubble, mockgen, docker-cli-buildx, aws-privateca-issuer, cloud-sql-proxy, grafana-alloy,...

GO-2025-3488 vulnerabilities

Vulnerabilities for packages: gatus, prometheus-adapter, step-issuer, octo-sts, whereabouts, dynamic-localpv-provisioner, kubernetes-csi-external-provisioner, amazon-k8s-cni, goreleaser, docker-cli-buildx, crossplane-provider-aws-cloudwatchlogs, grafana-alloy, metallb, k8ssandra-operator,...

CVE-2026-70639 llama.cpp b1886–b7445 Null Pointer Dereference DoS via llama-android.cpp

llama.cpp builds b1886 through b7445 contain a null pointer dereference vulnerability in the LLaMA-Android JNI wrapper where the bench1model function fails to validate the model context pointer before dereferencing it. Attackers can supply a malicious, corrupt, or truncated model file to trigger ...

CVE-2026-70639

llama.cpp builds b1886 through b7445 contain a null pointer dereference vulnerability in the LLaMA-Android JNI wrapper where the bench1model function fails to validate the model context pointer before dereferencing it. Attackers can supply a malicious, corrupt, or truncated model file to trigger ...

CVE-2026-70639 llama.cpp b1886–b7445 Null Pointer Dereference DoS via llama-android.cpp

llama.cpp builds b1886 through b7445 contain a null pointer dereference vulnerability in the LLaMA-Android JNI wrapper where the bench1model function fails to validate the model context pointer before dereferencing it. Attackers can supply a malicious, corrupt, or truncated model file to trigger ...

CLEANSTART-2026-HC35488 Security fixes in kube-bench-fips 0.14.1-r0

Package kube-bench-fips version 0.14.1-r0 fixes 4 vulnerabilities: CVE-2025-68121, CVE-2025-61726, CVE-2025-61728, CVE-2025-61730...

CLEANSTART-2026-VV16787 Security fixes in kube-bench 0.15.0-r1

Package kube-bench version 0.15.0-r1 fixes 23 vulnerabilities: CVE-2026-25681, CVE-2026-27136, CVE-2026-42502, CVE-2026-42506, CVE-2026-25680...

CVE-2017-20254

Joomla! Component User Bench 1.0 contains an SQL injection vulnerability that allows unauthenticated attackers to execute arbitrary SQL queries by injecting malicious code through the userid parameter. Attackers can send GET requests to index.php with the option=comuserbench&view=detail&userid...

EUVD-2017-18981

Joomla! Component User Bench 1.0 contains an SQL injection vulnerability that allows unauthenticated attackers to execute arbitrary SQL queries by injecting malicious code through the userid parameter. Attackers can send GET requests to index.php with the option=comuserbench&view=detail&userid...

CVE-2017-20254

Joomla! Component User Bench 1.0 contains an SQL injection vulnerability that allows unauthenticated attackers to execute arbitrary SQL queries by injecting malicious code through the userid parameter. Attackers can send GET requests to index.php with the option=comuserbench&view=detail&userid...

CVE-2017-20254

The CVE-2017-20254 entry concerns the Joomla! Component User Bench 1.0, which is vulnerable to SQL injection via the userid parameter in index.php? option=com_userbench&view=detail&userid. The underlying flaw allows unauthenticated attackers to execute arbitrary SQL and exfiltrate sensitive data ...

CVE-2017-20254 Joomla! Component User Bench 1.0 SQL Injection via userid

Joomla! Component User Bench 1.0 contains an SQL injection vulnerability that allows unauthenticated attackers to execute arbitrary SQL queries by injecting malicious code through the userid parameter. Attackers can send GET requests to index.php with the option=comuserbench&view=detail&userid...

PT-2026-50931

Name of the Vulnerable Software and Affected Versions Joomla! Component User Bench version 1.0 Description An SQL injection allows unauthenticated attackers to execute arbitrary SQL queries by injecting malicious code through the userid parameter. This is achieved by sending GET requests to the...

Hardening Agent Benchmarks with Adversarial Hacker-Fixer Loops

Agent benchmarks score submissions with outcome verifiers that are typically hand-written and brittle, leaving them open to reward hacking. We audit 1,968 tasks across five terminal-agent benchmarks and find 323 16% hackable by frontier models given only the task description. This corrupts both...

SEC-Bench Pro: Can Language Models Solve Long-Horizon Software Security Tasks?

Large language models LLMs now support automated software security tasks, including vulnerability discovery and proof-of-concept PoC generation. Existing benchmarks do not faithfully evaluate LLMs in real-world bug hunting scenarios because they rely on fuzzing harnesses, target-specific...

TTPrint: Evidence-Grounded TTP Extraction Via Diverge-Then-Converge Verification

Extracting MITRE ATT&CK techniques from cyber threat intelligence CTI reports is an open-set, multi-label problem requiring both high recall not missing techniques and high precision not hallucinating unsupported ones. Existing methods--rule-based, supervised, and LLM-based--struggle to achieve...

MemRepair: Hierarchical Memory for Agentic Repository-Level Vulnerability Repair

Modern software ecosystems face a rapidly growing number of disclosed vulnerabilities, increasing the need for automated repair techniques that can operate reliably at repository scale. Although Large Language Model LLM-based agents have recently shown promise for automated vulnerability repair...

SkillSafetyBench: Evaluating Agent Safety under Skill-Facing Attack Surfaces

Reusable skills are becoming a common interface for extending large language model agents, packaging procedural guidance with access to files, tools, memory, and execution environments. However, this modularity introduces attack surfaces that are largely missed by existing safety evaluations: eve...