SecureAEye LAB ONLINE · SIG 657 · DET ~41s

← All attacks / AI/ML and emerging attacks

AI-driven vulnerability discovery / exploit generation

LLMs find flaws and weaponise CVEs into working exploits

categoryAI/ML and emerging attacksseverityHighdetectabilityNonelabnot yet measured

Example: AI-found 2FA-bypass zero-day

Classification

19 values: 7 imported, 1 derived, 11 machine-classified. What do these mean?

Exploitability

Attack vectorAI model manipulation
Reach (CVSS)Network
Attack complexityHigh
Privileges requiredNone
User interactionNone
Attacker skill requiredMedium
Resources requiredMedium
Likelihood / prevalenceMedium
MaturityEmerging

Impact & scope

SeverityHigh
ImpactAvailabilityConfidentialityIntegrity
PlatformAI SystemPRE
EnvironmentAI system
Target asset classML model / agent
Kill-chain phase (tactic)Resource Development

Detection & telemetry

DetectabilityNone

Detection & response

Mitigated by 4

Detected by 1

Framework references

Evidence & sources

  • ev-0001 (Cyber Attack Taxonomy) — Name, definition and Example/ID taken verbatim from the 'AI/ML and emerging attacks' table, line 652 of Cyber-Attack-Taxonomy.md
  • ev-0002 (Seeded-record enrichment run 2026-09-30 (crosswalk + facet classification)) — Crosswalk to attack:T1587.004, atlas:AML.T0016.002 as the nearest framework entries; ids verified to exist in the cached catalogues.
  • ev-0003 (MITRE Enterprise ATT&CK v19.2 (STIX 2.1)) — ATT&CK usage prevalence: 5 groups/software/campaigns reference this technique (ATT&CK enterprise v19.2)