Ultralytics parse_model Code Injection Remote Code Execution Vulnerability
- Published
- Last modified
- Where the record stands: published, rejected by its publisher, or superseded by another id.What do these mean? →
- published
- Whether CISA lists it in its Known Exploited Vulnerabilities catalog: proof that attackers are using it.What do these mean? →
- Not listed in CISA KEV
- Whether working attack code is public (Exploit-DB, Metasploit, Nuclei or GitHub). Public code makes attacks easier.What do these mean? →
- None on Exploit-DB, Metasploit or GitHub
Summary
The Ultralytics YOLO software, a widely used Python-based computer vision library, is affected by this flaw. An attacker could exploit it by tricking a user into visiting a malicious page or opening a malicious file, allowing the attacker to run arbitrary code with the privileges of the current user.
Summarized by anthropic/claude-haiku-5.5. Verify details against the original sources.
Read the original description
Ultralytics parse_model Code Injection Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Ultralytics. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file. The specific flaw exists within the parse_model function. The issue results from the lack of proper validation of a user-supplied string before using it to execute Python code. An attacker can leverage this vulnerability to execute code in the context of the current user. Was ZDI-CAN-30121.
Timeline
- CVE published
- First seen by cve.now
Affected versions
- Ultralytics Ultralytics
8.4.65