Severity by source
AV:N/AC:H/PR:N/UI:R/S:U/C:N/I:L/A:N
Archive delivered over network (AV:N), victim must extract (UI:R, AC:H), symlinks escape extraction boundary (S:C), enabling file read and overwrite (C:L, I:L).
Primary rating from Vendor (huntr_ai).
CVSS VectorVendor: huntr_ai
CVSS:3.0/AV:N/AC:H/PR:N/UI:R/S:U/C:N/I:L/A:N
Lifecycle Timeline
2DescriptionCVE.org
A vulnerability in keras-team/keras version 3.12.0 allows an attacker to craft a malicious tar archive that bypasses the filter_safe_tarinfos validation in keras/src/utils/file_utils.py. Specifically, symlink entries are not subjected to the same is_path_in_dir validation as regular file entries, allowing symlinks to be created outside the intended extraction directory. This can lead to symlink-based file read, file overwrite, or directory escape attacks. The issue is particularly impactful on Python 3.10 and 3.11, where filter_safe_tarinfos is the sole defense against tar path traversal. This vulnerability is distinct from CVE-2025-12060 and other previously reported issues.
AnalysisAI
Symlink entries in malicious tar archives bypass the filter_safe_tarinfos validation in Keras 3.12.0, enabling directory escape that can read or overwrite arbitrary files on the host filesystem. The root defect is in keras/src/utils/file_utils.py, where is_path_in_dir path containment checks are applied only to regular file entries - symlink entries are extracted without equivalent validation. …
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Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata
Vulnerability AssessmentAI
| Exploitation | The victim must actively extract a malicious tar archive using Keras 3.12.0 file utilities or model-loading APIs, requiring user interaction (UI:R). … Additional conditions and limiting factors are described in the full assessment. |
| Risk Assessment | The provided CVSS vector (CVSS:3.0/AV:N/AC:H/PR:N/UI:R/S:U/C:N/I:L/A:N, score 3.1) contains a significant discrepancy with the vulnerability description: C:N (no confidentiality impact) is asserted, yet the CVE explicitly identifies symlink-based file read as an attack outcome - this contradiction should be verified with the vendor or NVD before relying on the published score for prioritization. … Full risk analysis with EPSS, KEV, and SSVC signal comparison available after sign-in. |
| Exploit Scenario | An attacker publishes a poisoned Keras model archive to a public repository or delivers it via a targeted link to an ML practitioner. When the victim loads the model using Keras 3.12.0 on Python 3.10 or 3.11, the extraction process creates a symlink on the host filesystem pointing outside the extraction directory - for example, into `~/.ssh/` or a cloud credential directory. … |
| Remediation | No vendor-released patch version has been identified at time of analysis; the sole reference is the huntr.com bounty report at https://huntr.com/bounties/5d3638e8-a9f6-4964-a865-ddb9fe4d4b6e. … Detailed patch versions, workarounds, and compensating controls in full report. |
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Same weakness CWE-22 – Path Traversal
View allSame technique Path Traversal
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External POC / Exploit Code
Leaving vuln.today
EUVD-2026-43620
GHSA-58hv-7753-xmfq