Closed severo closed 3 years ago
The vulnerability (I don't think i affects us):
{
"advisory": "TensorFlow 2.6.0 includes a fix for CVE-2021-37686: In affected versions the strided slice implementation in TFLite has a logic bug which can allow an attacker to trigger an infinite loop. This arises from newly introduced support for ellipsis in axis definition (https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/lite/kernels/strided_slice.cc#L103-L122). An attacker can craft a model such that 'ellipsis_end_idx' is smaller than 'i' (e.g., always negative). In this case, the inner loop does not increase 'i' and the 'continue' statement causes execution to skip over the preincrement at the end of the outer loop. We have patched the issue in GitHub commit dfa22b348b70bb89d6d6ec0ff53973bacb4f4695. TensorFlow 2.6.0 is the only affected version.",
"cve": "CVE-2021-37686",
"id": "pyup.io-41161",
"specs": [
"==2.6.0"
],
"v": "==2.6.0"
},
Just has to RTFM: https://github.com/pyupio/safety#--ignore--i
We use
safety
to check vulnerabilities in the dependencies. But in the case below,tensorflow
is marked as insecure while the last published version on pipy is still 2.6.0. What to do in this case?