Allocation of Resources Without Limits or Throttling Affecting tensorflow package, versions [0,]
Threat Intelligence
Snyk has a proof-of-concept or detailed explanation of how to exploit this vulnerability.
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
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Start learning- Snyk IDSNYK-PYTHON-TENSORFLOW-13052810
- published26 Sept 2025
- disclosed25 Sept 2025
- creditShaoyu Yang
Introduced: 25 Sep 2025
NewCVE-2025-55559 (opens in a new tab)How to fix?
There is no fixed version for tensorflow.
Overview
tensorflow is a machine learning framework.
Affected versions of this package are vulnerable to Allocation of Resources Without Limits or Throttling via the tf.keras.layers.Conv2D function when the padding parameter is set to 'valid'. An attacker can cause the application to crash or become unresponsive by providing crafted input that triggers this condition.