Unverified50% confidenceFactExact time
Traditional static code analysis tools lack effective detection capabilities for malicious prompt injection instructions in metadata, documentation, and configuration files.
1
Sources
50%
Confidence
Long-term
Relevance
9/11/2026
First Seen
Sources
Related Entities
Related Claims
Unverified传统静态分析工具如Coverity和CodeQL在处理Firefox级别的代码库时面临路径爆炸问题,导致超时或大量误报72% similarUnverifiedA bug where the specification and implementation are inconsistent is called semantic drift in software engineering, and is difficult to detect through conventional code review.71% similarUnverifiedSAST analyzes source code or binaries without running the code, offering broad coverage but a high false-positive rate; DAST probes for vulnerabilities at runtime, offering high accuracy but limited coverage.71% similarUnverifiedLLM-based code auditing has difficulty performing precise state tracking across files and cross-function call chains, and cannot actually execute code to discover runtime vulnerabilities the way fuzz testing can.68% similarUnverifiedCurrent content moderation systems largely rely on keyword-, pattern-, and classifier-based methods, which struggle to understand code intent and result in false positives based on surface-level feature matching.67% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/902938API
curl https://kongchang.com/api/v1/knowledge/claims/902938MCP
get_claim(id=902938)