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Hackers Can Exploit Ollama Model Uploads to Leak Sensitive Server Data

ID: e53a8d5b-450a-5e5e-a58d-b4b263afd313

STIX ID: report--e53a8d5b-450a-5e5e-a58d-b4b263afd313

Feed Name: cybersecurityNews.com

Threat Score
76/100

Date Published: 2026-04-24

Date Updated: 2026-04-24

Author: Abinaya

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A critical unpatched vulnerability (CVE-2026-5757) in Ollama’s model upload/quantization engine allows unauthenticated remote attackers to exploit crafted GGUF uploads to read heap memory and exfiltrate sensitive data (encryption keys, credentials, API tokens). Discovered and disclosed by a researcher, the flaw stems from skipped bounds checking and unsafe memory operations; no vendor patch exists, so immediate mitigations (disable uploads, restrict access, accept uploads only from trusted sources) are advised.

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