AI security research / cases
Case files
Investigations, evidence and outcomes.
212 Cases · Page 11 of 11
Case
A prototype enforced exact-action grants under concurrency, with one successful claim per allowance in 6,560 ledger attempts, but it did not prove end-to-end correctness against real targets.
Setting: research demonstrationExploitation: not establishedEvidence: Grade BRemediation: not applicable
CaseAGAINST AI2 claims
Case
Authenticated LiteLLM proxy callers could set nested user_config routing parameters, bypassing top-level guards and causing the gateway to forward a configured provider key to an unauthorized endpoint.
Setting: research demonstrationExploitation: demonstratedEvidence: Grade B
CaseAGAINST AI2 claims
Case
Check Point found a missing admin-level authorization gate on LiteLLM /config/update that could modify live configuration and create further dangerous effects in tested versions.
Setting: research demonstrationExploitation: demonstratedEvidence: Grade B
CaseAGAINST AI2 claims
Case
An SDK-level denial-of-service weakness was corrected with a consistent request-body limit in supported builds.
Setting: research demonstrationExploitation: demonstratedEvidence: Grade CRemediation: fixed reported
CaseAGAINST AI1 claims
Case
Independent from request-body buffering, stale Streamable HTTP session entries could accumulate indefinitely.
Setting: research demonstrationExploitation: demonstratedEvidence: Grade CRemediation: fixed reported
CaseAGAINST AI1 claims
Case
Agent models differed substantially in whether they retried a possibly committed action with a fresh idempotency key.
Setting: simulationExploitation: demonstratedEvidence: Grade CRemediation: mitigation available
CaseAGAINST AI1 claims
Case
A 450-task study reports much higher functional completion than joint functionality and security success across six coding agents.
Setting: evaluationExploitation: not establishedEvidence: Grade CRemediation: not applicable
CaseAGAINST AI1 claims
Case
MetaCascade changes skill descriptors and optimizes competition for retrieval and selection. Across four datasets and two controlled agents, the study measured 74.24% final malicious-skill selection without defenses and 63.33% averaged across defense configurations.
Setting: evaluationExploitation: demonstratedEvidence: Grade B
CaseAGAINST AI3 claims
Case
Chainguard reports its Mythos-assisted test found that an allowed_token_ids row could remain after batch compaction and constrain another client’s successful output.
Setting: research demonstrationExploitation: demonstratedEvidence: Grade B
CaseAGAINST AI2 claims
Case
XBOW describes a six-day AI-assisted Chrome Windows exploit chain from a malicious page through V8 and WebP to a Crashpad sandbox escape, with a Google reward for its controlled demonstration.
Setting: research demonstrationExploitation: demonstratedEvidence: Grade BRemediation: fixed reported
CaseWITH AI3 claims
Case
A controlled proof-of-concept showed potentially massive unauthorized XRP issuance before validators upgraded.
Setting: research demonstrationExploitation: demonstratedEvidence: Grade CRemediation: fixed reported
CaseWITH AI1 claims
Case
A preprint demonstrates a macOS agent-confinement system that binds each grant to the actual file, program or endpoint used. In 74 controlled attacks, ordinary allowlists lost 66, sandbox plus allowlist 56, and ZTAC 2.
Setting: evaluationExploitation: demonstratedEvidence: Grade BRemediation: mitigation available
CaseAGAINST AI3 claims
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