CVE-2026-12484
Deserialization of Untrusted Data: Is CVE-2026-12484 real, exploitable, or a false positive? Here's the community verdict.
signals
public sources
High CVSS base score, but low real-world exploitation probability (EPSS). Likely less urgent than the score implies.
baseline read
auto · not a community verdict
Real, but low real-world risk
A genuine vulnerability on paper, but EPSS shows little real-world exploitation — the base score may overstate urgency. This is not the same as a false positive.
Based on CVSS · FIRST EPSS
Confirm or dispute →CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
A vulnerability in keras-team/keras version 3.15.0 allows unsafe deserialization of attacker-controlled PyTorch pickle data through the public `keras.layers.TorchModuleWrapper.from_config` method. This method invokes `torch.load(..., weights_only=False)` without requiring an explicit unsafe opt-in, such as a `safe_mode=False` parameter. When called outside a `SafeModeScope(True)` context, the absence of an ambient safe mode state permits unsafe deserialization by default. This issue can lead to arbitrary code execution if untrusted Keras layer configurations are processed using this method. The vulnerability arises because the method does not enforce safe deserialization practices unless explicitly guarded by Keras safe mode.
References
Published
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Field notes & remediation
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- 0
This scores high on paper (CVSS 7.8) but the real-world signal is low. It is not in CISA KEV and no public exploit was found, and near-term exploitation looks unlikely. Verify your own exposure before treating it as urgent. It needs local access, so it reads more as a privilege-escalation or post-access risk than a remote one. Not an emergency for most teams, but patch it in your normal cycle and check whether the affected component is actually exposed in your setup.
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