Integer overflow in Tensorflow
- Published
- Last modified
- Where the record stands: published, rejected by its publisher, or superseded by another id.What do these mean? →
- published
- Whether CISA lists it in its Known Exploited Vulnerabilities catalog: proof that attackers are using it.What do these mean? →
- Not listed in CISA KEV
- Fix
- Fixed in 2.7.1, 2.6.3, 2.5.3
- Whether working attack code is public (Exploit-DB, Metasploit, Nuclei or GitHub). Public code makes attacks easier.What do these mean? →
- None on Exploit-DB, Metasploit or GitHub
- Exploitation: poc
- Automatable: no
- Technical impact: total
Summary
Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, Grappler component of TensorFlow is vulnerable to an integer overflow during cost estimation for crop and resize. Since the cropping parameters are user controlled, a malicious person can trigger undefined behavior. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Timeline
- CVE published
- CISA SSVC assessment
Exploitation: poc · Automatable: no · Technical impact: total
- Record last updated
Affected versions
- tensorflow tensorflow
From 2.7.0 · fixed in 2.7.1; From 2.6.0 · fixed in 2.6.3; fixed in 2.5.3
- tensorflow-gpuPyPI
fixed in 2.5.3; From 2.6.0 · fixed in 2.6.3
- tensorflow-cpuPyPI
fixed in 2.5.3; From 2.6.0 · fixed in 2.6.3
- tensorflowPyPI
fixed in 2.5.3; From 2.6.0 · fixed in 2.6.3; From 2.7.0 · fixed in 2.7.1
- tensorflowPyPI
fixed in 2.5.3
- tensorflowPyPI
From 2.6.0 · fixed in 2.6.3
- tensorflowPyPI
From 2.7.0 · fixed in 2.7.1
- tensorflow-cpuPyPI
fixed in 2.5.3
- tensorflow-cpuPyPI
From 2.6.0 · fixed in 2.6.3
- tensorflow-cpuPyPI
From 2.7.0 · fixed in 2.7.1
- tensorflow-gpuPyPI
fixed in 2.5.3
- tensorflow-gpuPyPI
From 2.6.0 · fixed in 2.6.3
- tensorflow-gpuPyPI
From 2.7.0 · fixed in 2.7.1