GCD AI RADAR
incidents/AIR-2026-0090

CVE-2026-78147: llama.cpp RPC server vulnerable to insecure deserialization

Attack on AI2 Disclosed vulnerabilityInfrastructure vulnerabilitySupply chain

A vulnerability was found in the ggml-RPC Server component of llama.cpp affecting the deserialize_tensor function. Manipulation of operation parameters can trigger remote deserialization issues.

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 vulnerabilityprimary
    CVEs and advisories in AI frameworks, inference servers, MCP servers, AI developer tools and hosting stacks.
  • Supply chain
    Malicious or backdoored models, poisoned packages, unsafe deserialization and other compromised AI dependencies.
owasp llm top 10
mitre atlas
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
Open-weight model, Framework / tooling
products
llama.cpp
incident date
23 Aug 2026
first reported
23 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-2026-78147 · llama.cpp · deserialization
record
created 2026-10-18 06:33Z · updated 2026-10-18 06:33Z · json

Sources · 1

  1. 2026-08-23
    CVE-2026-78147: A vulnerability was found in ggml-org llama.cpp bec4772f6.
    NVD · nvd.nist.gov/vuln/detail/CVE-2026-78147

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