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CVE-2021-37685
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CVE-2021-37685
MITRE ATT&CK
Collection
Command and Control
Credential Access
Defense Evasion
Discovery
Execution
Exfiltration
Impact
Initial Access
Lateral Movement
Persistence
Privilege Escalation
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Description
TensorFlow is an end-to-end open source platform for machine learning. In affected versions TFLite’s expand_dims.cc
contains a vulnerability which allows reading one element outside of bounds of heap allocated data. If axis
is a large negative value (e.g., -100000
), then after the first if
it would still be negative. The check following the if
statement will pass and the for
loop would read one element before the start of input_dims.data
(when i = 0
). We have patched the issue in GitHub commit d94ffe08a65400f898241c0374e9edc6fa8ed257. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.
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CVE ID
AttackerKB requires a CVE ID in order to pull vulnerability data and references from the CVE list and the National Vulnerability Database. If available, please supply below: