external/anthropic-cybersecurity-skills/skills/conducting-social-engineering-pretext-call/SKILL.md
Plan and execute authorized vishing (voice phishing) pretext calls to assess employee susceptibility to social engineering and evaluate security awareness controls.
npx skillsauth add seikaikyo/dash-skills conducting-social-engineering-pretext-callInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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A pretext call (vishing) is a social engineering technique where an attacker impersonates a trusted authority figure over the phone to manipulate targets into divulging sensitive information, performing actions, or granting access. In red team engagements, pretext calls test the human element of security controls, measuring employee adherence to verification procedures and security awareness training effectiveness. MITRE ATT&CK maps this to T1566.004 (Phishing for Information: Voice) and T1598 (Phishing for Information).
| Technique ID | Name | Tactic | |---|---|---| | T1566.004 | Phishing: Voice | Initial Access | | T1598 | Phishing for Information | Reconnaissance | | T1598.003 | Phishing for Information: Spearphishing Voice | Reconnaissance | | T1589 | Gather Victim Identity Information | Reconnaissance | | T1591 | Gather Victim Org Information | Reconnaissance |
# LinkedIn employee enumeration
theHarvester -d targetcorp.com -b linkedin -l 200
# Company org chart and employee roles
# Review LinkedIn, corporate website "About Us" / "Team" pages
# Technology stack identification
# Check job postings for technology references (VPN vendor, email, helpdesk tool)
# Phone system identification
# Call main line, note IVR options, department names, extension patterns
Key intelligence to gather:
IT Helpdesk Impersonation (Most Effective):
"Hi, this is [name] from the IT Service Desk. We're migrating everyone to the new VPN client this week, and I see your account hasn't been updated yet. I need to verify your current credentials to ensure the migration goes smoothly. Can you confirm your username and current password?"
Vendor/Contractor:
"Hi, I'm [name] from [known vendor]. We're doing an emergency patch deployment for [product] and I need remote access to your system. Could you help me connect via TeamViewer?"
Executive Assistant (Authority):
"This is [name] calling on behalf of [CFO name]. [He/She] needs an urgent wire transfer processed for a deal that's closing today. I'll email you the details, but we need this done in the next hour."
Building/Facilities:
"Hi, this is [name] from facilities management. We're updating the badge access system this weekend. I need to confirm your employee ID and current badge number so your access isn't interrupted."
| Objection | Response | |---|---| | "Can I call you back?" | "Of course, call the main helpdesk line and ask for [name]. But this needs to be done by EOD." | | "I need to verify this" | "Absolutely, I appreciate your diligence. You can check with [manager name]." | | "I was told never to give passwords" | "You're right, and normally we wouldn't ask. This is a special case because [reason]. I can have my manager call you." | | "What's your employee ID?" | Pivot: "It's [made-up ID]. Listen, I have 50 more people to call today. Can we just get this done?" | | "I'll email IT instead" | "Sure, but the system migration happens tonight. If it's not done by then..." |
Track the following for each call:
| Metric | Description | |---|---| | Target Name | Employee called | | Department | Target's department | | Date/Time | When call was made | | Duration | Length of call | | Pretext Used | Which scenario | | Information Obtained | What was disclosed | | Credential Disclosed | Yes/No (and type) | | Verification Attempted | Did target try to verify caller? | | Reported to Security | Did target report the call? | | Social Engineering Score | 1-5 susceptibility rating |
| Metric | Target | Result | |---|---|---| | Credential Disclosure Rate | <10% | XX% | | Sensitive Info Disclosure Rate | <20% | XX% | | Verification Rate | >80% | XX% | | Security Reporting Rate | >50% | XX% |
tools
Conduct comprehensive GDPR compliance assessments by evaluating data processing activities against EU Regulation 2016/679, including Article 30 records of processing, lawful basis validation, data subject rights implementation, Data Protection Impact Assessments (DPIAs) under Article 35, breach notification procedures, international transfer safeguards (SCCs, adequacy decisions), and technical/organizational measures under Article 32. Use when processing personal data of EU residents, preparing for supervisory authority audits, implementing privacy-by-design for new systems, scoping compliance gaps for M&A due diligence, assessing third-party processors, or responding to data subject access requests at scale. Incorporates 2026 guidance from ICO, EDPB, and post-Data (Use and Access) Act 2025 UK-GDPR considerations. Do not use for implementing specific Article 32 controls — use implementing-gdpr-data-protection-controls; or for DSAR automation — use implementing-gdpr-data-subject-access-request.
tools
Parse Windows forensic artifacts—$MFT/$J (MFTECmd), Prefetch (PECmd), registry hives (RECmd), shellbags, and Amcache—into normalized CSV/JSON with Eric Zimmerman's EZ Tools, then load results into Timeline Explorer for analysis. Use during DFIR/incident-response investigations, after triage collection (e.g. with KAPE), to establish program execution, file/folder access, and persistence evidence from acquired forensic images.
development
Build automated multi-turn adversarial attacks against conversational LLM targets using Microsoft PyRIT's RedTeamingOrchestrator, CrescendoOrchestrator (gradual escalation), and TreeOfAttacksWithPruningOrchestrator (adaptive branching), with scorer feedback loops and persisted conversation memory. Use when single-shot LLM scanning is insufficient and you need multi-turn, scorer-driven AI red-team campaigns against a chatbot or agent.
testing
Stand up MISP, enable and cache curated threat feeds (CIRCL, abuse.ch, Feodo Tracker), apply warninglists to suppress false positives, query indicators with PyMISP, and export attributes as auto-generated Suricata/Sigma/Wazuh detection rules. Use when maturing a MISP instance to actively drive detection, curating threat feeds with quality controls, or automating IOC-to-detection pipelines for the SIEM/IDS.