Lucene search
+L

14 matches found

BDU FSTEC
BDU FSTEC
•added 2025/10/14 12:00 a.m.•16 views

The vulnerability of the `tf.keras.layers.Conv2D()` function in the TensorFlow machine learning system, which allows attackers to trigger a service denial-of-service attack.

The vulnerability of the tf.keras.layers.Conv2D function in TensorFlow’s machine learning system is related to uncontrolled resource consumption when the padding='valid' parameter is used. Exploiting this vulnerability could allow a malicious actor to cause a service failure...

7.8CVSS5.8AI score0.00212EPSS
SaveExploits1References3Affected Software1
OSV
OSV
•added 2025/10/05 11:59 p.m.•8 views

BIT-TENSORFLOW-2025-55559

An issue was discovered TensorFlow v2.18.0. A Denial of Service DoS occurs when padding is set to 'valid' in tf.keras.layers.Conv2D...

7AI score0.00212EPSS
SaveExploits1References3
EUVD
EUVD
•added 2025/10/03 8:07 p.m.•11 views

EUVD-2025-31122

Malicious code in bioql PyPI...

7.5CVSS6.4AI score0.00212EPSS
SaveExploits1References3
SUSE CVE
SUSE CVE
•added 2025/10/01 11:22 p.m.•10 views

SUSE CVE-2025-55559

An issue was discovered TensorFlow v2.18.0. A Denial of Service DoS occurs when padding is set to 'valid' in tf.keras.layers.Conv2D...

7.5CVSS7AI score0.00212EPSS
SaveExploits1References3
Snyk
Snyk
•added 2025/09/25 4:44 p.m.•3 views

Allocation of Resources Without Limits or Throttling

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...

7.5CVSS6.9AI score0.00212EPSS
SaveExploits1References2
NVD
NVD
•added 2025/09/25 4:15 p.m.•16 views

CVE-2025-55559

An issue was discovered TensorFlow v2.18.0. A Denial of Service DoS occurs when padding is set to 'valid' in tf.keras.layers.Conv2D...

7.5CVSS0.00212EPSS
SaveExploits1References2
OSV
OSV
•added 2025/09/25 4:15 p.m.•7 views

DEBIAN-CVE-2025-55559

An issue was discovered TensorFlow v2.18.0. A Denial of Service DoS occurs when padding is set to 'valid' in tf.keras.layers.Conv2D...

7.5CVSS5.3AI score0.00212EPSS
SaveExploits1References1
OSV
OSV
•added 2025/09/25 4:15 p.m.•13 views

UBUNTU-CVE-2025-55559

An issue was discovered TensorFlow v2.18.0. A Denial of Service DoS occurs when padding is set to 'valid' in tf.keras.layers.Conv2D...

7.5CVSS5.8AI score0.00212EPSS
SaveExploits1References3
Rapid7 Vulnerability Database (full)
Rapid7 Vulnerability Database (full)
•added 2025/09/25 12:00 a.m.•1 views

CVE-2025-55559: Uncontrolled Resource Consumption

An issue was discovered TensorFlow v2.18.0. A Denial of Service DoS occurs when padding is set to 'valid' in tf.keras.layers.Conv2D...

7.5CVSS5.7AI score0.00212EPSS
SaveExploits1References1
Debian CVE
Debian CVE
•added 2025/09/25 12:00 a.m.•17 views

CVE-2025-55559

An issue was discovered TensorFlow v2.18.0. A Denial of Service DoS occurs when padding is set to 'valid' in tf.keras.layers.Conv2D...

5.3AI score0.00212EPSS
SaveExploits1
OSV
OSV
•added 2025/09/25 12:00 a.m.•11 views

CVE-2025-55559

An issue was discovered TensorFlow v2.18.0. A Denial of Service DoS occurs when padding is set to 'valid' in tf.keras.layers.Conv2D...

7.5CVSS7AI score
SaveExploits0References4
Cvelist
Cvelist
•added 2025/09/25 12:00 a.m.•24 views

CVE-2025-55559

An issue was discovered TensorFlow v2.18.0. A Denial of Service DoS occurs when padding is set to 'valid' in tf.keras.layers.Conv2D...

0.00212EPSS
SaveExploits1References2
Vulnrichment
Vulnrichment
•added 2025/09/25 12:00 a.m.•3 views

CVE-2025-55559

An issue was discovered TensorFlow v2.18.0. A Denial of Service DoS occurs when padding is set to 'valid' in tf.keras.layers.Conv2D...

6.5AI score0.00212EPSS
SaveExploits1References2
Positive Technologies
Positive Technologies
•added 2025/09/25 12:00 a.m.•14 views

PT-2025-39417

Name of the Vulnerable Software and Affected Versions TensorFlow version 2.18.0 Description A Denial of Service DoS issue exists in TensorFlow. Specifically, the problem occurs within the tf.keras.layers.Conv2D layer when the padding parameter is set to 'valid'. This configuration can lead to a...

7.5CVSS6.5AI score0.00212EPSS
SaveExploits1References10
Rows per page
Query Builder