CVE-2025-23320 is an information disclosure vulnerability in the Python backend of NVIDIA Triton Inference Server on Windows and Linux. By sending an oversized request that causes the shared memory limit to be exceeded, a remote attacker can trigger verbose error handling that discloses the name of an internal IPC shared memory region used by the Python backend. The flaw is rooted in improper handling of error conditions and exposure of sensitive internal implementation details through error messages. This disclosure can provide attackers with knowledge of backend memory identifiers that are intended to remain private, and it has been described as a key first step in broader exploit chains targeting Triton shared memory mechanisms.
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What an attacker gets, and what they’ve been doing with it.
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No public exploit code observed for this vulnerability.
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9 sources tracked across advisories, community write-ups, and news. New activity surfaces here as Mallory finds it.
An information disclosure vulnerability in NVIDIA Triton Inference Server that reveals internal shared memory region names through verbose error messages and can be chained with other flaws to facilitate compromise.
A critical vulnerability in NVIDIA Triton Inference Server mentioned as part of a group of 2025 flaws, but not described in detail in the content.
A vulnerability in NVIDIA Triton Inference Server that leaks an internal shared memory region name through verbose error handling when sent an oversized request, serving as the first step in an exploit chain with CVE-2025-23319.
A vulnerability in NVIDIA Triton Inference Server shared memory management related to excessive resource consumption.
Query your assets running an affected version, and investigate the blast radius.
Every observed campaign linking this CVE to a named adversary.
Malware families riding this exploit, with evidence and IOCs.
YARA, Sigma, Snort, and vendor rules, auto-deployed to your SIEM.
Cross-references every affected SKU, including bundled OEM variants.
Community discussion across Reddit, Mastodon, and other social sources.