CVE-2020-15202
9.0 · CRITICALOverview
CVE-2020-15202 is a critical-severity vulnerability affecting google tensorflow. It was published on September 25, 2020 and has a CVSS 3.1 base score of 9.0 (CRITICAL).
This vulnerability has a CVSS 3.1 base score of 9.0, rated CRITICAL. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.
Technical Description
In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the `Shard` API in TensorFlow expects the last argument to be a function taking two `int64` (i.e., `long long`) arguments. However, there are several places in TensorFlow where a lambda taking `int` or `int32` arguments is being used. In these cases, if the amount of work to be parallelized is large enough, integer truncation occurs. Depending on how the two arguments of the lambda are used, this can result in segfaults, read/write outside of heap allocated arrays, stack overflows, or data corruption. The issue is patched in commits 27b417360cbd671ef55915e4bb6bb06af8b8a832 and ca8c013b5e97b1373b3bb1c97ea655e69f31a575, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.
Remediation
Check the references section for vendor advisories and patches from google. Update tensorflow to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.
Affected Products
| Vendor | Product | Versions | Status |
|---|---|---|---|
| tensorflow | >= 0, < 1.15.4 | Affected |
References
Frequently Asked Questions
What is CVE-2020-15202?
CVE-2020-15202 is a critical-severity vulnerability affecting google tensorflow. It was published on September 25, 2020 and has a CVSS 3.1 base score of 9.0 (CRITICAL).
How severe is CVE-2020-15202?
This vulnerability has a CVSS 3.1 base score of 9.0, rated CRITICAL. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.
How do I fix or remediate CVE-2020-15202?
Check the references section for vendor advisories and patches from google. Update tensorflow to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.
How can CyberStrike help with CVE-2020-15202?
CyberStrike's AI-powered security agents can automatically detect CVE-2020-15202 across your infrastructure using autonomous pentesting, DAST scanning, and HackBrowser. The platform continuously monitors for known vulnerabilities and provides actionable remediation guidance prioritized by real-world exploitability.
How CyberStrike Helps
AI agents map your attack surface to find vulnerabilities like this one.
Automated penetration testing that runs continuously, not just quarterly.
AI-driven PR review catches vulnerable dependencies before they ship.
Browser-based exploitation validates findings with real proof-of-concept.
Related CRITICAL CVEs from 2020
View all →In ApexPro Telemetry Server, Versions 4.2 and prior, CARESCAPE Telemetry Server v4.2 & prior, Clinic
In ApexPro Telemetry Server, Versions 4.2 and prior, CARESCAPE Telemetry Server v4.2 & prior, Clinic
In ApexPro Telemetry Server Versions 4.2 and prior, CARESCAPE Telemetry Server v4.2 & prior, Clinica
In ApexPro Telemetry Server Versions 4.2 and prior, CARESCAPE Telemetry Server v4.2 & prior, Clinica
Missing Authentication for Critical Function in the Bosch Video Streaming Gateway (VSG) allows an un
Deserialization of Untrusted Data in the BVMS Mobile Video Service (BVMS MVS) allows an unauthentica
NaCl in 2015 allowed the CLFLUSH instruction, making rowhammer attacks possible.
A remote code execution vulnerability exists in the way that the Microsoft Server Message Block 3.1.
Apache Commons Configuration uses a third-party library to parse YAML files which by default allows
UltraLog Express device management interface does not properly filter user inputted string in some s
A Use of Hard-coded Credentials vulnerability exists in the NFX250 Series for the vSRX Virtual Netwo
Beaker before 0.8.9 allows a sandbox escape, enabling system access and code execution. This occurs