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explainx.ai

home/skills/tag/supply-chain
skill tag

supply-chain▌

21 indexed skills · max 10 per page

skills (21)

securing-github-actions-workflows

mukul975/Anthropic-Cybersecurity-Skills · securing-github-actions-workflows

0

This skill covers hardening GitHub Actions workflows against supply chain attacks, credential theft, and privilege escalation. It addresses pinning actions to SHA digests, minimizing GITHUB_TOKEN permissions, protecting secrets from exfiltration, preventing script injection in workflow expressions, and implementing required reviewers for workflow changes.

implementing-image-provenance-verification-with-cosign

mukul975/Anthropic-Cybersecurity-Skills · implementing-image-provenance-verification-with-cosign

0

Sign and verify container image provenance using Sigstore Cosign with keyless OIDC-based signing, attestations, and Kubernetes admission enforcement.

implementing-code-signing-for-artifacts

mukul975/Anthropic-Cybersecurity-Skills · implementing-code-signing-for-artifacts

0

This skill covers implementing code signing for build artifacts to ensure integrity and authenticity throughout the software supply chain. It addresses signing binaries, packages, and containers using GPG, Sigstore, and platform-specific signing tools, establishing trust chains, and verifying signatures in deployment pipelines.

performing-container-security-scanning-with-trivy

mukul975/Anthropic-Cybersecurity-Skills · performing-container-security-scanning-with-trivy

0

Scan container images, filesystems, and Kubernetes manifests for vulnerabilities, misconfigurations, exposed secrets, and license compliance issues using Aqua Security Trivy with SBOM generation and CI/CD integration.

implementing-aqua-security-for-container-scanning

mukul975/Anthropic-Cybersecurity-Skills · implementing-aqua-security-for-container-scanning

0

Deploy Aqua Security's Trivy scanner to detect vulnerabilities, misconfigurations, secrets, and license issues in container images across CI/CD pipelines and registries.

detecting-typosquatting-packages-in-npm-pypi

mukul975/Anthropic-Cybersecurity-Skills · detecting-typosquatting-packages-in-npm-pypi

0

Detects typosquatting attacks in npm and PyPI package registries by analyzing package name similarity using Levenshtein distance and other string metrics, examining publish date heuristics to identify recently created packages mimicking established ones, and flagging download count anomalies where suspicious packages have disproportionately low usage compared to their legitimate targets. The analyst queries the PyPI JSON API and npm registry API to gather package metadata for automated comparison. Activates for requests involving package typosquatting detection, dependency confusion analysis, malicious package identification, or software supply chain threat hunting in package registries.

exploiting-broken-link-hijacking

mukul975/Anthropic-Cybersecurity-Skills · exploiting-broken-link-hijacking

0

Discover and exploit broken link hijacking vulnerabilities by identifying references to expired domains, decommissioned cloud resources, and dead external services that can be claimed by an attacker.

analyzing-supply-chain-malware-artifacts

mukul975/Anthropic-Cybersecurity-Skills · analyzing-supply-chain-malware-artifacts

0

Investigate supply chain attack artifacts including trojanized software updates, compromised build pipelines, and sideloaded dependencies to identify intrusion vectors and scope of compromise.

implementing-container-image-minimal-base-with-distroless

mukul975/Anthropic-Cybersecurity-Skills · implementing-container-image-minimal-base-with-distroless

0

Reduce container attack surface by building application images on Google distroless base images that contain only the application runtime with no shell, package manager, or unnecessary OS utilities.

performing-supply-chain-attack-simulation

mukul975/Anthropic-Cybersecurity-Skills · performing-supply-chain-attack-simulation

0

Simulate and detect software supply chain attacks including typosquatting detection via Levenshtein distance, dependency confusion testing against private registries, package hash verification with pip, and known vulnerability scanning with pip-audit.

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