Code execution via unbounded OFF token read
Published Aug 11, 2025 · Updated Aug 11, 2025
Stack-based buffer overflow in Bullet Physics SDK before 3.26 allows remote attackers to execute arbitrary code via a crafted OFF file. LoadOFF passes the file's initial token to an unbounded fscanf %s conversion that writes into a 1,024-byte stack buffer without enforcing its capacity. The VHACD test utility or PyBullet vhacd function must process the file; demonstrated behavior includes a process crash, while code execution depends on build protections.
Summary
What happened
Stack-based buffer overflow in Bullet Physics SDK before 3.26 allows remote attackers to execute arbitrary code via a crafted OFF file. LoadOFF passes the file's initial token to an unbounded fscanf %s conversion that writes into a 1,024-byte stack buffer without enforcing its capacity. The VHACD test utility or PyBullet vhacd function must process the file; demonstrated behavior includes a process crash, while code execution depends on build protections.
The record
- CVE
- CVE-2025-8854
- Published
- Aug 11, 2025
- Updated
- Aug 11, 2025
- Vendor
- Bullet Physics
- Product
- Bullet Physics SDK
- Classifications
- CWE-120, CWE-787, CAPEC-100, T1203
- Attack vector
- local
- Privileges
- unauthenticated
Timeline
How it unfolded
- Aug 11, 2025CVE publishedPublication date reported by the CVE source.
- Aug 11, 2025Record updatedLatest update available in the CVE record.
Exploitability
Present is not the same as exploitable
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Is a vulnerable build present?
Compare these published version ranges with your installed build and any vendor patches.
- Affected versionversion=<= 3.25
What conditions does exploitation require?
What is affected?
Attacks
What attackers are doing with it
Daily unique IPs observed by Shadowserver honeypots for known exploited vulnerabilities (KEVs). Missing observations do not establish an absence of attacks.
Weakness, pattern, technique
Public exploit references
- CVE-2025-8854 stack-buffer-overflow reproducerproof of concept · demonstrated
Labels summarize the accepted research assessment. They do not indicate a test against your environment.
Technologies
Your stack
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Your stack
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