PYSEC-2026-356
Vulnerability from pysec - Published: 2026-06-29 11:50 - Updated: 2026-07-01 20:22The 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.
| Name | purl | imgaug | pkg:pypi/imgaug |
|---|
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "imgaug",
"purl": "pkg:pypi/imgaug"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"last_affected": "0.4.0"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"0.2.0",
"0.2.1",
"0.2.3",
"0.2.4",
"0.2.5",
"0.2.6",
"0.2.7",
"0.2.8",
"0.2.9",
"0.3.0",
"0.4.0"
]
}
],
"aliases": [
"CVE-2026-31235",
"GHSA-g82g-j283-hj97"
],
"details": "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\u0027s 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.",
"id": "PYSEC-2026-356",
"modified": "2026-07-01T20:22:54.401793Z",
"published": "2026-06-29T11:50:50.309063Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-31235"
},
{
"type": "PACKAGE",
"url": "https://github.com/aleju/imgaug"
},
{
"type": "WEB",
"url": "https://www.notion.so/CVE-2026-31235-35d1e139318881efb701d814228424a9"
},
{
"type": "PACKAGE",
"url": "https://pypi.org/project/imgaug"
},
{
"type": "ADVISORY",
"url": "https://github.com/advisories/GHSA-g82g-j283-hj97"
}
],
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
}
],
"summary": "imgaug contains an insecure deserialization vulnerability in BackgroundAugmenter class within multicore.py module"
}
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.