Full Report
With NIST still buried under its backlog, expect AI-generated bogus reports to continue
Analysis Summary
# Vulnerability: AI-Generated "Slop" (Fake Vulnerabilities)
## CVE Details
- **CVE ID:** Multiple (including a batch of 54 rejected/flaged identifiers)
- **CVSS Score:** 7.5 to 10.0 (**Critical/High**)
- **CWE:** N/A (Technical Hallucinations)
## Affected Systems
- **Products:**
- SQLite (Open-source database)
- Libraw (RAW image processing library)
- ESP32-audioI2S (Arduino audio decoding library)
- **Versions:** Various (often citing non-existent functions or irrelevant source lines)
- **Configurations:** Default installations targeted by automated scanners.
## Vulnerability Description
These are "bogus" or fake vulnerabilities generated by Large Language Models (LLMs). The reports mimic legitimate security advisories by using technical jargon such as "Use-After-Free" (UAF) and referencing specific lines of code. However, technical analysis revealed the flaws were non-existent:
- Some reports cited functions that do not exist in the referenced software version.
- Others pointed to source code lines completely unrelated to the alleged memory corruption or logic flaw.
- The reports were submitted to the CVE pipeline via obscure GitHub repositories and ingested by major databases due to a lack of manual verification backstops at NIST and various CNAs (CVE Numbering Authorities).
## Exploitation
- **Status:** **Not exploited** (Vulnerabilities are technically non-existent/fake).
- **Complexity:** Low (to report) / High (to verify/reproduce).
- **Attack Vector:** Network (as claimed in fake metadata).
- **PoC Availability:** "Fake" PoCs were provided; testing by JFrog confirmed they execute valid queries with no errors or memory leaks.
## Impact
- **Confidentiality:** None (Fake)
- **Integrity:** None (Fake)
- **Availability:** **High (Operational Impact)** – These reports pollute the security ecosystem, causing "alert fatigue" and wasting human resources on non-existent threats.
## Remediation
### Patches
- **No patches required.** These are not real vulnerabilities. Organizations should ignore these specific CVE IDs if they appear in legacy scan reports.
### Workarounds
- **Verification:** Cross-reference new CVEs with official vendor advisories (e.g., SQLite’s official site). If the vendor has not acknowledged the flaw, treat it with skepticism.
## Detection
**Indicators of "AI Slop" Vulnerabilities:**
- **Lack of Vendor Corroboration:** The software maintainers have no record of the bug.
- **Missing Metadata:** Absence of commit hashes, pull requests, or valid CPE (Common Platform Enumeration) definitions.
- **Hallucinated References:** Code references that do not match real functions in the source tree.
- **Source Disconnect:** PoCs that run successfully without triggering the described error.
## References
- **JFrog Research:** hxxps://research.jfrog[.]com/post/sqlite-critical-cves-or-llm-slops/
- **OSS-Security Mailing List:** hxxps://www.openwall[.]com/lists/oss-security/2026/08/01/2
- **NIST NVD Backlog Report:** hxxps://www.oig.doc[.]gov/reports/?entry=70787
- **GitHub Repository of Fake Advisories:** hxxps://github[.]com/programmervuln/cveadvisory- (Note: Reported for removal)