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GHSA-6x99-gv2v-q76v
No affected components available
Impact
When running on GPU, tf.image.generate_bounding_box_proposals receives a scores input that must be of rank 4 but is not checked.
import tensorflow as tf
a = tf.constant(value=[[1.0, 1.0], [1.0, 1.0], [1.0, 1.0], [1.0, 1.0]])
b = tf.constant(value=[1])
tf.image.generate_bounding_box_proposals(scores=a,bbox_deltas=a,image_info=a,anchors=a,pre_nms_topn=b)
Patches
We have patched the issue in GitHub commit cf35502463a88ca7185a99daa7031df60b3c1c98.
The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
For more information
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Attribution
This vulnerability has been reported by Pattarakrit Rattankul.
The vulnerability can be exploited over the network without needing physical access. It is difficult for an attacker to exploit this vulnerability and may require special conditions. An attacker needs basic access or low-level privileges. The attacker needs the user to perform some action, like clicking a link. The impact is confined to the system where the vulnerability exists. There is a high impact on the availability of the system.
Exploitation attempts have been detected. Elevated vigilance and prompt remediation are advised.
The exploit probability is very low. The vulnerability is unlikely to be exploited in the next 30 days.
We did not find any exploit available. Neither in GitHub repositories nor in the Exploit-Database.
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