CVE-2026-1462
Essential information
- Published
- 13/04/2026 17:17
- Modified
- —
- Author
- The MITRE Corporation
- Creator
- The MITRE Corporation
- CVSS
- 7.8 HIGH (v3.1)
- CISA KEV
- No
- CWE
- CWE-502
- EPSS (First)
- P27.6% EPSS percentile: rank of this vulnerability versus all others. Higher percentile = more likely to be exploited. Learn more (score 0.00357)
- CVSS vector
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CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H—
CVSS metrics
- Access vector
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- Access complexity
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- Authentication
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- Confidentiality impact
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- Integrity impact
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- Availability impact
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- Exploitability
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- Remediation level
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- Report confidence
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- Temporal score
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- Attack vector
- LOCAL
- Attack complexity
- LOW
- Privileges required
- NONE
- User interaction
- REQUIRED
- Scope
- UNCHANGED
- Confidentiality impact
- HIGH
- Integrity impact
- HIGH
- Availability impact
- HIGH
- Exploit code maturity
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- Remediation level
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- Report confidence
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- Temporal score
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- Attack vector
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- Attack complexity
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- Attack requirements
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- Privileges required
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- User interaction
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- Confidentiality (V)
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- Confidentiality (S)
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- Integrity (V)
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- Integrity (S)
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- Availability (V)
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- Availability (S)
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- Exploit maturity
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Description
A vulnerability in the `TFSMLayer` class of the `keras` package, version 3.13.0, allows attacker-controlled TensorFlow SavedModels to be loaded during deserialization of `.keras` models, even when `safe_mode=True`. This bypasses the security guarantees of `safe_mode` and enables arbitrary attacker-controlled code execution during model inference under the victim's privileges. The issue arises due to the unconditional loading of external SavedModels, serialization of attacker-controlled file paths, and the lack of validation in the `from_config()` method.
NVD status
- NVD
- View on NVD