CVE-2025-33244: NVIDIA Apex · Deserialization of Untrusted Data
Affects NVIDIA ApexSource CVE Database V5
Not known to be exploited · CVSS 9.0 Critical.
Data as of 30 Oct 2026, 11:52 UTC
Contested
Critical score, yet low EPSS after six months- EPSS
- 0.6% chance of exploitation in 30 days – higher than 48% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:A/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:HExploitation evidence
Disclosed: evidence found.
CVE published 24 Mar 2026
Detectable: no evidence on record.
No public nuclei template indexed
Weaponized: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors
A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 30 Oct 2026.
What to do
Affected software
| Product | Affected | Fixed in |
|---|---|---|
| NVIDIAApex | Affected
| Fixed in– |
AI-suggested
To mitigate CVE-2025-33244, organizations should immediately identify all systems running NVIDIA Apex with PyTorch versions earlier than 2.6. The primary remediation step is to update NVIDIA Apex to versions including commit db8e053 or later, which contain the patch for this vulnerability. If immediate patching is not feasible, restrict network access to affected systems by implementing strict firewall rules and network segmentation to limit exposure to untrusted sources. Employ runtime application self-protection (RASP) or endpoint detection and response (EDR) solutions to monitor for anomalous deserialization activities or suspicious process behaviors. Review and harden deserialization processes by implementing input validation and employing safe deserialization libraries or techniques where possible. Additionally, enforce the principle of least privilege for user accounts and services interacting with Apex to reduce the impact of potential exploitation. Regularly audit and update AI/ML environments and dependencies to maintain security posture. Finally, monitor threat intelligence feeds for any emerging exploit attempts targeting this vulnerability.
Description
NVIDIA APEX for Linux contains a vulnerability where an unauthorized attacker could cause a deserialization of untrusted data. This vulnerability affects environments that use PyTorch versions earlier than 2.6. A successful exploit of this vulnerability might lead to code execution, denial of service, escalation of privileges, data tampering, and information disclosure.