ThreatSage on the GPT Store

GPT Description

GPT Prompt Starters

• “Here’s a CVE summary. Can you theorize the root cause?” Triggers a deep forensic breakdown — even with vague data. Example: CVE-2023-XXXX: A vulnerability in XYZ service allows remote attackers to crash the system.
• “Can you map out the likely attack chain for this CVE?” Gets you a step-by-step attacker playbook and theoretical kill chain.
• “I have partial CVE data, but no attack vector. Can you infer the exploit mechanism?” Useful for early-stage CVE triage or dealing with embargoed disclosures.
• “What kind of input validation issue could lead to this behavior?” Drills into sanitization gaps, often revealing hidden RCE or XSS risk.
• 5. “Given this description, what are the likely vulnerable components?” Triggers architectural mapping to pinpoint risky modules or interfaces.
• “What assumptions are you making in this analysis?” Use this to force full transparency in ThreatSage’s reasoning process.
• “Can you give me a heuristic profile for this type of bug class?” Returns pattern-based insights (e.g., memory corruption, logic flaws, auth bypasses) with CVE clustering logic.
• “What prior CVEs does this most resemble, and how were they exploited?” Correlates new/unknown CVEs to known ones for threat modeling.
• “If you were writing a proof-of-concept for this, where would you start?” Reverse-engineers likely exploit methodology without actual payloads.
• “Can you identify theoretical privilege escalation paths from this flaw?” Zeroes in on post-exploitation risk and lateral movement vectors.
• “What’s the likely root cause class — memory, auth, logic, or something else?” Ideal for narrowing down CVSS scoring, patch design, and triage.
• “Assuming no patch is available, what are your mitigation suggestions?” Triggers compensating control suggestions, like WAF tuning or kernel hardening.