CVE-2026-70640: Race condition use-after-free in LLaMA-Android JNI wrapper
llama.cpp, LLaMA-Android
Llama.cpp contains a use-after-free vulnerability in the LLaMA-Android JNI wrapper due to missing synchronization. Attackers can exploit this to achieve remote code execution via a fake vtable.
disclosed CVENo confirmed exploitation, so this record is tracked as a disclosed vulnerability and not counted as an incident. It moves into the counts if CISA or the vendor confirms exploitation. Why
- CVSS
- 7.3
- EPSS
- <0.01 · top 85% · 2026-11-13
- fix status
- Fix status unknown
- first report
- 6 Aug 2026
- last update
- 6 Aug 2026
- CVE ids
Timeline · 1
Sources · 1
Advisories and databases
- 2026-08-06CVE-2026-70640: llama.cpp builds b1886 through b7445 contain a race condition use-after-free vulnerability in the LLaMA-Android JNI wrapper where…NVD · nvd.nist.gov/vuln/detail/CVE-2026-70640
Titles and links belong to their publishers. The summary above is written by gcdRadar in its own words; data is CC BY-SA 4.0.
Classification
- lane
- Patch now
- AI role
- Attack on AI
- categories
- Infrastructure vulnerability
- severity
- 2 · Disclosed vulnerability
- fix status
- Fix status unknown
- targets
- Framework / tooling
- owasp llm top 10
- LLM03:2025 Supply Chain
- mitre atlas
- no technique for these categories
- dates
- happened 6 Aug 2026 · first reported 6 Aug 2026
- origin
- NVDVulnerability record from NVD / the GitHub Advisory Database. This product uses the NVD API but is not endorsed or certified by the NVD.
- record
- confidence 0.95 · created 2026-10-18 06:33Z · updated 2026-10-18 06:33Z
Lane, AI role, categories and severity come from the classifier; the OWASP and ATLAS rows are derived from the categories. How these are assigned
Copy a brief
This record as a short Markdown brief, for a ticket, a chat or a coding agent.
the brief as text
# CVE-2026-70640: Race condition use-after-free in LLaMA-Android JNI wrapper https://gcdradar.vercel.app/incidents/cve-2026-70640-race-condition-use-after-free-in-llama-androi · AIR-2026-0067 · closed 2026-08-06 - Lane: Patch now - Severity: 2 (Disclosed vulnerability) - Fix status: Fix status unknown - First reported: 2026-08-06 - AI role: Attack on AI - Products: llama.cpp, LLaMA-Android - CVE ids: CVE-2026-70640 - CVSS: 7.3 ## Summary Llama.cpp contains a use-after-free vulnerability in the LLaMA-Android JNI wrapper due to missing synchronization. Attackers can exploit this to achieve remote code execution via a fake vtable. ## What to do No action recorded; read the sources below and the vendor's advisory. ## Latest updates - 2026-08-06: CVE-2026-70640: llama.cpp builds b1886 through b7445 contain a race condition use-after-free vulnerability in the LLaMA-Android JNI wrapper where… (https://nvd.nist.gov/vuln/detail/CVE-2026-70640) ## Sources - 2026-08-06 NVD: CVE-2026-70640: llama.cpp builds b1886 through b7445 contain a race condition use-after-free vulnerability in the LLaMA-Android JNI wrapper where… https://nvd.nist.gov/vuln/detail/CVE-2026-70640 Verify against the vendor's advisory before changing production. Data CC BY-SA 4.0, https://gcdradar.vercel.app.
Related
- closed8.5llama.cpp CVE-2026-70638: Integer overflow vulnerability in LLaMA-Android JNI wrapper
Patch now · Disclosed · since 6 Aug 2026 · CVE-2026-70638
AI - closed7.5llama.cpp llama.cpp vulnerable to reachable assertion via gguf reader
Patch now · Disclosed · since 1 Sep 2026 · CVE-2026-52131
AI - closed7.5llama.cpp llama.cpp vulnerable to uncontrolled recursion and denial of service
Patch now · Disclosed · since 1 Sep 2026 · CVE-2026-52130
AI - closed7.5llama.cpp llama.cpp vulnerable to denial of service via negative top_n reranking value
Patch now · Disclosed · since 1 Sep 2026 · CVE-2026-52132
AI - closed6.9llama.cpp CVE-2026-78148: llama.cpp RPC Server Null Pointer Dereference Vulnerability
Patch now · Disclosed · since 24 Aug 2026 · CVE-2026-78148
AI - closed7.3llama.cpp CVE-2026-78147: llama.cpp RPC server vulnerable to insecure deserialization
Patch now · Disclosed · since 23 Aug 2026 · CVE-2026-78147
AI