Local code execution via untrusted pickle load
Published May 16, 2025 · Updated May 16, 2025
Deserialization in BeamCtrl Airiana 11.0 and earlier allows local users to execute arbitrary code through a crafted data file. The coef script passes coeficients.dat directly to Python's pickle.load(), so attacker-controlled pickle opcodes invoke arbitrary commands during loading. Exploitation requires write access to that local file and execution of the script; resulting commands inherit the script's privileges.
Summary
What happened
Deserialization in BeamCtrl Airiana 11.0 and earlier allows local users to execute arbitrary code through a crafted data file. The coef script passes coeficients.dat directly to Python's pickle.load(), so attacker-controlled pickle opcodes invoke arbitrary commands during loading. Exploitation requires write access to that local file and execution of the script; resulting commands inherit the script's privileges.
The record
- CVE
- CVE-2025-4740
- Published
- May 16, 2025
- Updated
- May 16, 2025
- Vendor
- BeamCtrl
- Product
- Airiana
- Classifications
- CWE-502, CWE-20, T1059.006
- Attack vector
- local
- Privileges
- Unavailable
Timeline
How it unfolded
- May 16, 2025CVE publishedPublication date reported by the CVE source.
- May 16, 2025Record updatedLatest update available in the CVE record.
Exploitability
Present is not the same as exploitable
Compare your product and version with the public record. A matching version still requires validation against your environment.
Is a vulnerable build present?
Compare these published version ranges with your installed build and any vendor patches.
- Affected versionversion=11.0
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
- Malicious coeficients.dat pickle proof of conceptproof of concept · demonstrated
Labels summarize the accepted research assessment. They do not indicate a test against your environment.
Technologies
Your stack
See the directory against your own environment.
Your stack
Check the software in your environment
Book a demo to see how Hinoki identifies affected software and validates exploitability in your environment.
Book a demo