CVE-2026-31235: n/a
The imgaug library thru 0.4.0 contains an insecure deserialization vulnerability in its BackgroundAugmenter class within the multicore.py module. The class uses Python's pickle module to deserialize data received via a multiprocessing queue in the _augment_images_worker() method without any safety checks. An attacker who can influence the data placed into this queue (e.g., through social engineering, malicious input scripts, or a compromised shared queue) can provide a malicious pickle payload. When deserialized, this payload can execute arbitrary code in the context of the worker process, leading to remote or local code execution depending on the deployment scenario.
AI Analysis
Technical Summary
CVE-2026-31235 describes an insecure deserialization vulnerability in the imgaug library (up to version 0.4.0) specifically in the BackgroundAugmenter class's _augment_images_worker() method within multicore.py. The vulnerability is due to untrusted data being deserialized via Python's pickle module from a multiprocessing queue without safety checks. This allows an attacker who can control the queue input to execute arbitrary code in the worker process. The vulnerability is present because pickle inherently allows code execution during deserialization, and no validation or sanitization is performed on the incoming data. No CVSS score or vendor patch information is currently available.
Potential Impact
Successful exploitation allows arbitrary code execution within the context of the worker process running the BackgroundAugmenter. This can lead to local or remote code execution depending on deployment and attacker access to the multiprocessing queue. The impact includes potential full compromise of the affected process and any privileges it holds. No known exploits are reported in the wild at this time.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until a fix is available, avoid running the vulnerable BackgroundAugmenter class with untrusted input or in environments where an attacker can influence the multiprocessing queue data. Consider isolating or sandboxing processes using this library to limit potential impact.
CVE-2026-31235: n/a
Description
The imgaug library thru 0.4.0 contains an insecure deserialization vulnerability in its BackgroundAugmenter class within the multicore.py module. The class uses Python's pickle module to deserialize data received via a multiprocessing queue in the _augment_images_worker() method without any safety checks. An attacker who can influence the data placed into this queue (e.g., through social engineering, malicious input scripts, or a compromised shared queue) can provide a malicious pickle payload. When deserialized, this payload can execute arbitrary code in the context of the worker process, leading to remote or local code execution depending on the deployment scenario.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2026-31235 describes an insecure deserialization vulnerability in the imgaug library (up to version 0.4.0) specifically in the BackgroundAugmenter class's _augment_images_worker() method within multicore.py. The vulnerability is due to untrusted data being deserialized via Python's pickle module from a multiprocessing queue without safety checks. This allows an attacker who can control the queue input to execute arbitrary code in the worker process. The vulnerability is present because pickle inherently allows code execution during deserialization, and no validation or sanitization is performed on the incoming data. No CVSS score or vendor patch information is currently available.
Potential Impact
Successful exploitation allows arbitrary code execution within the context of the worker process running the BackgroundAugmenter. This can lead to local or remote code execution depending on deployment and attacker access to the multiprocessing queue. The impact includes potential full compromise of the affected process and any privileges it holds. No known exploits are reported in the wild at this time.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until a fix is available, avoid running the vulnerable BackgroundAugmenter class with untrusted input or in environments where an attacker can influence the multiprocessing queue data. Consider isolating or sandboxing processes using this library to limit potential impact.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- mitre
- Date Reserved
- 2026-03-09T00:00:00.000Z
- Cvss Version
- null
- State
- PUBLISHED
- Remediation Level
- null
Threat ID: 6a036531cbff5d861008c1bb
Added to database: 5/12/2026, 5:36:49 PM
Last enriched: 5/12/2026, 7:38:37 PM
Last updated: 5/13/2026, 4:50:49 AM
Views: 2
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