CVE-2026-18581: Reachable Assertion in ggml-org llama.cpp
CVE-2026-18581 is a medium severity vulnerability in the ggml-org llama.cpp project involving a reachable assertion triggered by specific input manipulation in the Jinja Minja Template Parser component. The issue occurs locally when processing the input '{{9|9|{'. The vulnerability has been publicly disclosed but no official fix or patch has been provided yet. Exploitation requires local access and no known exploits are currently in the wild.
AI Analysis
Technical Summary
This vulnerability in ggml-org llama.cpp (commit e15efe0) affects an unknown functionality within the file common/jinja/parser.cpp of the Jinja Minja Template Parser component. By manipulating input with the string '{{9|9|{', an attacker with local access can trigger a reachable assertion, potentially causing a denial of service or application crash. The vulnerability was reported early to the project, but no response or remediation has been issued. The CVSS 4.0 base score is 4.8, reflecting a medium severity with local attack vector and low privileges required.
Potential Impact
An attacker with local access can cause the application to hit an assertion failure by providing crafted input, leading to a potential denial of service or crash. There is no indication of privilege escalation, remote exploitation, or data confidentiality/integrity impact based on the available information.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Since no official fix or patch has been released and the vendor has not responded, users should restrict local access to trusted users only and avoid processing untrusted input with the affected component until a fix is available.
CVE-2026-18581: Reachable Assertion in ggml-org llama.cpp
Description
CVE-2026-18581 is a medium severity vulnerability in the ggml-org llama.cpp project involving a reachable assertion triggered by specific input manipulation in the Jinja Minja Template Parser component. The issue occurs locally when processing the input '{{9|9|{'. The vulnerability has been publicly disclosed but no official fix or patch has been provided yet. Exploitation requires local access and no known exploits are currently in the wild.
CVSS v4.0
Score 4.8medium
Affected software
cpe:2.3:a:ggml-org:llama.cpp:*:*:*:*:*:*:*:*AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
This vulnerability in ggml-org llama.cpp (commit e15efe0) affects an unknown functionality within the file common/jinja/parser.cpp of the Jinja Minja Template Parser component. By manipulating input with the string '{{9|9|{', an attacker with local access can trigger a reachable assertion, potentially causing a denial of service or application crash. The vulnerability was reported early to the project, but no response or remediation has been issued. The CVSS 4.0 base score is 4.8, reflecting a medium severity with local attack vector and low privileges required.
Potential Impact
An attacker with local access can cause the application to hit an assertion failure by providing crafted input, leading to a potential denial of service or crash. There is no indication of privilege escalation, remote exploitation, or data confidentiality/integrity impact based on the available information.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Since no official fix or patch has been released and the vendor has not responded, users should restrict local access to trusted users only and avoid processing untrusted input with the affected component until a fix is available.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- VulDB
- Date Reserved
- 2026-08-02T18:58:51.627Z
- Cvss Version
- 4.0
- State
- PUBLISHED
- Remediation Level
- null
Threat ID: 6a6fe8f1bf32cb7a34b61c84
Added to database: 08/03/2026, 01:03:45 UTC
Last enriched: 08/03/2026, 01:20:06 UTC
Last updated: 08/03/2026, 02:45:41 UTC
Views: 4
Community Reviews
0 reviewsCrowdsource mitigation strategies, share intel context, and vote on the most helpful responses. Sign in to add your voice and help keep defenders ahead.
Want to contribute mitigation steps or threat intel context? Sign in or create an account to join the community discussion.
Actions
Updates to AI analysis require Pro Console access. Upgrade inside Console → Billing.
Need more coverage?
Upgrade to Pro Console for AI refresh and higher limits.
For incident response and remediation, OffSeq services can help resolve threats faster.
Latest Threats
Check if your credentials are on the dark web
Instant breach scanning across billions of leaked records. Free tier available.