CVE-2023-25667Medium· 6.5▾ SunlitTensorFlow vulnerable to segfault when opening multiframe gif
▾ Sunlit zone — Low / medium · no exploitation signal
impact 35.8 · likelihood 0.1 · exploitation 0
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Exploit-prediction probability, daily snapshots since Jul 8.
Disclosure to exploitation, from the record and what we observed since indexing it.
Disclosed via OSV
Last analysed / modified upstream
0.3%
0.3% → 0.3%
Integer overflow occurs when 2^31 <= num_frames * height * width * channels < 2^32, for example Full HD screencast of at least 346 frames.
import urllib.request
dat = urllib.request.urlopen('https://raw.githubusercontent.com/tensorflow/tensorflow/1c38ad9b78ffe06076745a1ee00cec42f39ff726/tensorflow/core/lib/gif/testdata/3g_multiframe.gif').read()
import tensorflow as tf
tf.io.decode_gif(dat)
We have patched the issue in GitHub commit 8dc723fcdd1a6127d6c970bd2ecb18b019a1a58d.
The fix will be included in TensorFlow 2.12.0. We will also cherrypick this commit on TensorFlow 2.11.1
Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.
This vulnerability has been reported by Andrei
tensorflow < 2.11.1tensorflow-cpu < 2.11.1tensorflow-gpu < 2.11.1Upgrade to a patched release:
tensorflow 2.11.1tensorflow-cpu 2.11.1tensorflow-gpu 2.11.1Connected by shared product, vendor, weakness, or advisory.
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