Topic: security
1,299 skills in this topic.
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detecting-modbus-protocol-anomalies
This skill covers detecting anomalies in Modbus/TCP and Modbus RTU communications in industrial control systems. It addresses function code monitoring, register range validation, timing analysis, unauthorized client detection, and deep packet inspection for malformed Modbus frames. The skill leverages Zeek with Modbus protocol analyzers, Suricata IDS with OT rules, and custom Python-based detection using Markov chain models for normal Modbus transaction sequences.
mukul975/Anthropic-Cybersecurity-Skills 4,300
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performing-graphql-depth-limit-attack
Execute and test GraphQL depth limit attacks using deeply nested recursive queries to identify denial-of-service vulnerabilities in GraphQL APIs.
mukul975/Anthropic-Cybersecurity-Skills 4,300
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detecting-process-hollowing-technique
Detect process hollowing (T1055.012) by analyzing memory-mapped sections, hollowed process indicators, and parent-child process anomalies in EDR telemetry.
mukul975/Anthropic-Cybersecurity-Skills 4,300
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performing-web-application-firewall-bypass
Bypass Web Application Firewall protections using encoding techniques, HTTP method manipulation, parameter pollution, and payload obfuscation to deliver SQL injection, XSS, and other attack payloads past WAF detection rules.
mukul975/Anthropic-Cybersecurity-Skills 4,300
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performing-web-application-vulnerability-triage
Triage web application vulnerability findings from DAST/SAST scanners using OWASP risk rating methodology to separate true positives from false positives and prioritize remediation.
mukul975/Anthropic-Cybersecurity-Skills 4,300
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detecting-arp-poisoning-in-network-traffic
Detect and prevent ARP spoofing attacks using ARPWatch, Dynamic ARP Inspection, Wireshark analysis, and custom monitoring scripts to protect against man-in-the-middle interception.
mukul975/Anthropic-Cybersecurity-Skills 4,300
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implementing-aes-encryption-for-data-at-rest
AES (Advanced Encryption Standard) is a symmetric block cipher standardized by NIST (FIPS 197) used to protect classified and sensitive data. This skill covers implementing AES-256 encryption in GCM m
mukul975/Anthropic-Cybersecurity-Skills 4,300
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detecting-typosquatting-packages-in-npm-pypi
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.
mukul975/Anthropic-Cybersecurity-Skills 4,300
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detecting-fileless-attacks-on-endpoints
Detects fileless malware and in-memory attacks that execute entirely in RAM without writing persistent files to disk, evading traditional antivirus. Use when building detections for PowerShell-based attacks, reflective DLL injection, WMI persistence, and registry-resident malware. Activates for requests involving fileless malware detection, in-memory attacks, PowerShell exploitation, or living-off-the-land techniques.
mukul975/Anthropic-Cybersecurity-Skills 4,300
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hunting-for-data-exfiltration-indicators
Hunt for data exfiltration through network traffic analysis, detecting unusual data flows, DNS tunneling, cloud storage uploads, and encrypted channel abuse.
mukul975/Anthropic-Cybersecurity-Skills 4,300
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analyzing-certificate-transparency-for-phishing
Monitor Certificate Transparency logs using crt.sh and Certstream to detect phishing domains, lookalike certificates, and unauthorized certificate issuance targeting your organization.
mukul975/Anthropic-Cybersecurity-Skills 4,300
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implementing-log-integrity-with-blockchain
Build an append-only log integrity chain using SHA-256 hash chaining for tamper detection. Each log entry is hashed with the previous entry's hash to create a blockchain-like structure where modifying any entry invalidates all subsequent hashes. Implements log ingestion, chain verification, tamper detection with pinpoint identification, and periodic checkpoint anchoring to external timestamping services.
mukul975/Anthropic-Cybersecurity-Skills 4,300
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detecting-dll-sideloading-attacks
Detect DLL side-loading attacks where adversaries place malicious DLLs alongside legitimate applications to hijack execution flow for defense evasion.
mukul975/Anthropic-Cybersecurity-Skills 4,300
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hunting-for-dns-based-persistence
Hunt for DNS-based persistence mechanisms including DNS hijacking, dangling CNAME records, wildcard DNS abuse, and unauthorized zone modifications using passive DNS databases, SecurityTrails API, and DNS audit log analysis.
mukul975/Anthropic-Cybersecurity-Skills 4,300
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implementing-container-image-minimal-base-with-distroless
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.
mukul975/Anthropic-Cybersecurity-Skills 4,300
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performing-http-parameter-pollution-attack
Execute HTTP Parameter Pollution attacks to bypass input validation, WAF rules, and security controls by injecting duplicate parameters that are processed differently by front-end and back-end systems.
mukul975/Anthropic-Cybersecurity-Skills 4,300
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exploiting-sql-injection-with-sqlmap
Detecting and exploiting SQL injection vulnerabilities using sqlmap to extract database contents during authorized penetration tests.
mukul975/Anthropic-Cybersecurity-Skills 4,300
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implementing-mitre-attack-coverage-mapping
Implement MITRE ATT&CK coverage mapping to identify detection gaps, prioritize rule development, and measure SOC detection maturity against adversary techniques.
mukul975/Anthropic-Cybersecurity-Skills 4,300
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detecting-t1548-abuse-elevation-control-mechanism
Detect abuse of elevation control mechanisms including UAC bypass, sudo exploitation, and setuid/setgid manipulation by monitoring registry modifications, process elevation flags, and unusual parent-child process relationships.
mukul975/Anthropic-Cybersecurity-Skills 4,300
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implementing-ot-incident-response-playbook
Develop and implement OT-specific incident response playbooks aligned with SANS PICERL framework, IEC 62443, and NIST SP 800-82 that address unique ICS challenges including safety-critical systems, limited downtime tolerance, and coordination between IT SOC, OT engineering, and plant operations teams.
mukul975/Anthropic-Cybersecurity-Skills 4,300
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performing-malware-triage-with-yara
Performs rapid malware triage and classification using YARA rules to match file patterns, strings, byte sequences, and structural characteristics against known malware families and suspicious indicators. Covers rule writing, scanning, and integration with analysis pipelines. Activates for requests involving YARA rule creation, malware classification, pattern matching, sample triage, or signature-based detection.
mukul975/Anthropic-Cybersecurity-Skills 4,300
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analyzing-slack-space-and-file-system-artifacts
Examine file system slack space, MFT entries, USN journal, and alternate data streams to recover hidden data and reconstruct file activity on NTFS volumes.
mukul975/Anthropic-Cybersecurity-Skills 4,300
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analyzing-indicators-of-compromise
Analyzes indicators of compromise (IOCs) including IP addresses, domains, file hashes, URLs, and email artifacts to determine maliciousness confidence, campaign attribution, and blocking priority. Use when triaging IOCs from phishing emails, security alerts, or external threat feeds; enriching raw IOCs with multi-source intelligence; or making block/monitor/whitelist decisions. Activates for requests involving VirusTotal, AbuseIPDB, MalwareBazaar, MISP, or IOC enrichment pipelines.
mukul975/Anthropic-Cybersecurity-Skills 4,300
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exploiting-insecure-data-storage-in-mobile
Identifies and exploits insecure local data storage vulnerabilities in Android and iOS mobile applications including unencrypted databases, world-readable files, insecure SharedPreferences, plaintext credential storage, and improper keychain/keystore usage. Use when performing mobile penetration testing focused on OWASP M9 (Insecure Data Storage) or assessing compliance with MASVS-STORAGE requirements. Activates for requests involving mobile data storage security, local storage exploitation, SharedPreferences analysis, or mobile data leakage assessment.
mukul975/Anthropic-Cybersecurity-Skills 4,300