CVE-2026-116096 (GCVE-0-2026-116096)
Vulnerability from cvelistv5 – Published: 2026-10-25 23:00 – Updated: 2026-10-26 16:38 X_Open Source
VLAI
EPSS
VEX
Title
ggml-org llama.cpp Pocket-TTS pockettts-gen.cpp list_pockettts_state_slots out-of-bounds write
Summary
A weakness has been identified in ggml-org llama.cpp. Affected by this issue is the function list_pockettts_state_slots of the file tools/mtmd/models/pockettts-gen.cpp of the component Pocket-TTS. This manipulation of the argument mmproj causes out-of-bounds write. The attack requires local access. The exploit has been made available to the public and could be used for attacks. Upgrading to version b11796 can resolve this issue. Patch name: 0a1ef309cdbb9f2024f58a38fb4c42352c5db569. The affected component should be upgraded. The reported heap out‑of‑bounds write (gen‑audio / pocket‑tts state_out path) is no longer a silent exploitable heap write on current master and the latest release b11871 - a malicious mmproj that previously triggered it now trips a release‑active GGML_ASSERT and aborts. But the submitter's recommended by‑construction fix (PR #29360 "prevent OOB accesses from malformed mmproj files") is still open. So the root cause is detected‑and‑aborted, not prevented‑by‑design.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-10-26 15:59 UTC
Assigner
References
10 references
| URL | Tags |
|---|---|
| https://vuldb.com/vuln/426164 | vdb-entrytechnical-description |
| https://vuldb.com/vuln/426164/cti | signaturepermissions-required |
| https://vuldb.com/cve/CVE-2026-116096 | third-party-advisory |
| https://vuldb.com/submit/1000891 | third-party-advisory |
| https://github.com/3em0/cve_repo/tree/main/2026/l… | exploit |
| https://github.com/ggml-org/llama.cpp/pull/30902 | issue-trackingpatch |
| https://github.com/3em0/cve_repo/tree/main/2026/l… | exploit |
| https://github.com/ggml-org/llama.cpp/commit/0a1e… | patch |
| https://github.com/ggml-org/llama.cpp/releases/ta… | patch |
| https://github.com/ggml-org/llama.cpp/ | product |
Impacted products
1 product
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]
},
{
"descriptions": [
{
"cweId": "CWE-119",
"description": "Memory Corruption",
"lang": "en",
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}
]
}
],
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"name": "VDB-426164 | ggml-org llama.cpp Pocket-TTS pockettts-gen.cpp list_pockettts_state_slots out-of-bounds write",
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],
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{
"name": "VDB-426164 | CTI Indicators (IOB, IOC, IOA)",
"tags": [
"signature",
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],
"url": "https://vuldb.com/vuln/426164/cti"
},
{
"name": "CVE-2026-116096 | CVE Analysis and Report",
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},
{
"name": "Submit #1000891 | ggml-org xxxxxxxxxx\u00a0llama.cpp up to main commit 8212c7802455255460ab8e18fc34754560031b34 (latest release b11160, 2026-09-24) Out-of-Bounds Write (CWE-787)",
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}
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Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.
Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.