Local process crash via unchecked zero divisor
Published Aug 12, 2021 · Updated Aug 4, 2024
Divide-by-zero in Google TensorFlow before 2.3.4, 2.4.0 through 2.4.2, and 2.5.0 allows local users to crash a process. SparseDenseBinaryOpShared gathers a dense operand and passes zero to the shared division path without validating the divisor, producing a floating-point exception. Local low-privileged access to code that invokes the raw operation with a zero dense tensor is required; the resulting exception terminates the hosting process without reported data exposure or modification.
Summary
What happened
Divide-by-zero in Google TensorFlow before 2.3.4, 2.4.0 through 2.4.2, and 2.5.0 allows local users to crash a process. SparseDenseBinaryOpShared gathers a dense operand and passes zero to the shared division path without validating the divisor, producing a floating-point exception. Local low-privileged access to code that invokes the raw operation with a zero dense tensor is required; the resulting exception terminates the hosting process without reported data exposure or modification.
The record
- CVE
- CVE-2021-37636
- Published
- Aug 12, 2021
- Updated
- Aug 4, 2024
- Vendor
- Product
- TensorFlow
- Classifications
- CWE-369, T1499.004
- Attack vector
- local
- Privileges
- authenticated
Timeline
How it unfolded
- Aug 12, 2021CVE publishedPublication date reported by the CVE source.
- Aug 4, 2024Record updatedLatest update available in the CVE record.
Exploitability
Present is not the same as exploitable
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Is a vulnerable build present?
Compare these published version ranges with your installed build and any vendor patches.
- Affected versionversion=< 2.3.4
- Affected versionversion=>= 2.4.0, < 2.4.3
- Affected versionversion=>= 2.5.0, < 2.5.1
What conditions does exploitation require?
What is affected?
Published CVSS scores
CVSS describes severity. EPSS estimates exploitation probability.
Attacks
What attackers are doing with it
Daily unique IPs observed by Shadowserver honeypots for known exploited vulnerabilities (KEVs). Missing observations do not establish an absence of attacks.
Public exploit references
- SparseDenseCwiseDiv zero-divisor reproducerproof of concept · demonstrated
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Technologies
Your stack
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Your stack
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