Cyber Resilience

CVE-2026-43622

Memory Safety in Ggml Llama.Cpp b1886 – b7445

Public PoCMemory Safety
Published
06 August 2026
Modified
04 September 2026
Patch / advisory
CVSS Score v4 8.5
Click a component to see what it means
Raw vectorCVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
EPSS Score 0.0016 5th percentile
Risk Priority 55 floored blend · peak EPSS

CVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.

Summary

CVE-2026-43622 is a high-severity Double Free (CWE-415) vulnerability in Ggml Llama.Cpp. Its CVSS base score is 8.5 (High).

Operationally, exploitation aligns with the MITRE ATT&CK technique Exploitation for Privilege Escalation (T1068); ranked at the 5th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.

This vulnerability is AI-related — categorised as NLP and Transformers.

The strongest mitigations our analysis identified map to SA-11 (Developer Testing and Evaluation) and SA-15 (Development Process, Standards, and Tools) — see the control section below for these in your framework.

EU & UK References

Vulnerability Data

llama.cpp builds b1886 through b7445 contain a double free vulnerability in the LLaMA-Android JNI wrapper where new_1batch() allocates memory using malloc() while free_1batch() deallocates it using the C++ delete operator, causing heap metadata corruption. Attackers can trigger this memory management…

more

mismatch to cause denial of service through process crashes or potentially achieve arbitrary code execution depending on allocator state.

CWE(s)

AI Security AnalysisAI

AI Category
NLP and Transformers
Risk Domain
N/A
OWASP Top 10 for LLMs 2025
None mapped
Classification Reason
Matched keywords: llama.cpp, llama

Related Threats

MITRE ATT&CK Enterprise Techniques

T1068 Exploitation for Privilege Escalation Privilege Escalation
Adversaries may exploit software vulnerabilities in an attempt to elevate privileges.
T1190 Exploit Public-Facing Application Initial Access
Adversaries may attempt to exploit a weakness in an Internet-facing host or system to initially access a network.
T1203 Exploitation for Client Execution Execution
Adversaries may exploit software vulnerabilities in client applications to execute code.
T1210 Exploitation of Remote Services Lateral Movement
Adversaries may exploit remote services to gain unauthorized access to internal systems once inside of a network.
T1212 Exploitation for Credential Access Credential Access
Adversaries may exploit software vulnerabilities in an attempt to collect credentials.
T1499 Endpoint Denial of Service Impact
Adversaries may perform Endpoint Denial of Service (DoS) attacks to degrade or block the availability of services to users.
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2026-33298Same product: Ggml Llama.Cpp
CVE-2024-42477Same product: Ggml Llama.Cpp
CVE-2024-42478Same product: Ggml Llama.Cpp
CVE-2026-34159Same product: Ggml Llama.Cpp
CVE-2025-52566Same product: Ggml Llama.Cpp
CVE-2025-49847Same product: Ggml Llama.Cpp
CVE-2026-21869Same product: Ggml Llama.Cpp
CVE-2024-23605Same product: Ggml Llama.Cpp
CVE-2024-21802Same product: Ggml Llama.Cpp
CVE-2024-23496Same product: Ggml Llama.Cpp

Affected Assets

ggml
llama.cpp
b1886 — b7445

Mitigating Controls

Control response

Prevent
Stop it (NIST 800-53)

—

Detect
Catch it (NIST detect / respond)

—

Harden
Shrink the surface (DISA STIG)
  • 1 hardening rule · 1 OS baseline
Validate
Prove the fix (OWASP ASVS)

—

Mitigating Controls (NIST 800-53 r5) AI

Developer testing and evaluation explicitly includes dynamic analysis and fuzzing that locate double-free defects before release.

Documented development standards and tools can enforce or check for correct pairing of allocators and deallocators.

Security engineering principles can require memory-safe allocation patterns or language features that structurally eliminate double-free opportunities.

Flaw remediation processes require identification and correction of memory-management defects such as double free once discovered.

Mitigating Controls (NIST CSF 2.0) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.

PR.PS-06 partial match
prevents

Secure SDLC practices directly prevent double-free errors via static analysis, safe memory APIs, and testing.

Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.

prevents

Secure development life cycle includes memory-safety practices that can prevent double-free bugs.

prevents

Application security requirements can mandate memory-safety rules that reduce double-free risk.

prevents

Secure system architecture and engineering principles can prescribe safe memory-management patterns.

prevents

Secure coding standards directly address proper use of free() and similar functions.

finds

Security testing in development can detect double-free conditions before release.

Hardening callouts derived

Configuration rules from DISA STIG baselines that bear on weaknesses of the type cited by this CVE. Each rule is shown with the relationship its mapping actually records, against the CWE it was authored against. Derived via CVE→CWE over `controls_xwalks` (higher-evidence rows only; rows rated `none` are excluded).

Oracle Linux 8 (1 rule)
  • V-248590 OL 8 must clear the page allocator to prevent use-after-free attacks. prevents CWE-415

References