GCD AI RADAR
incidents/AIR-2026-0066

CVE-2026-43628: Integer underflow in llama.cpp DRY sampler causes denial of service

Attack on AI2 Disclosed vulnerabilityInfrastructure vulnerability

Llama.cpp contains an integer underflow vulnerability in the DRY sampler affecting completion endpoints. Attackers can send crafted HTTP requests to crash the server or corrupt token sampling probabilities.

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

Details

type
Attack on AI
An AI model, agent or AI-powered product was the thing exploited, abused or leaked.
categories
  • Infrastructure vulnerability
    CVEs and advisories in AI frameworks, inference servers, MCP servers, AI developer tools and hosting stacks.
owasp llm top 10
mitre atlas
no technique for these categories
Both rows are derived from the type and categories (OWASP 2025 edition, ATLAS release 2026.09), not classified per record. How
severity
2 · Disclosed vulnerability
CVE or vendor advisory, patched or patchable, no confirmed exploitation.
targets
Framework / tooling
products
llama.cpp
incident date
6 Aug 2026
first reported
6 Aug 2026
origin
NVD
Vulnerability record from NVD / the GitHub Advisory Database. This product uses the NVD API but is not endorsed or certified by the NVD.
classifier confidence
0.95 · published at or above 0.80; see the methodology
tags
CVE-2026-43628 · integer-underflow · llama.cpp
record
created 2026-10-18 06:33Z · updated 2026-10-18 06:33Z · json

Sources · 1

  1. 2026-08-06
    CVE-2026-43628: llama.cpp builds b3978 through b9058 contain an integer underflow and out-of-bounds read vulnerability in the DRY sampler that…
    NVD · nvd.nist.gov/vuln/detail/CVE-2026-43628

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