CVE-2018-7575: Tensorflow Integer Overflow Or Wraparound Vulnerability

CRITICAL
Advisory Identifier: GHSA-mw6v-crh8-8533
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CVSS 9.8
CWE-190
Published
Advisory Summary

CVE-2018-7575 is a CRITICAL (CVSS 9.8) integer overflow or wraparound vulnerability (CWE-190: Integer Overflow or Wraparound) affecting Tensorflow libraries in the PyPI ecosystem. The issue involves integer overflow or wraparound in google tensorflow. Remediation is available by upgrading affected packages to version 1.7.1.

CVE-2018-7575 at a Glance

CVE Identifier CVE-2018-7575
GHSA Identifier GHSA-mw6v-crh8-8533
Severity CRITICAL
CVSS v3.1 Base Score 9.8
CWE Classification CWE-190: Integer Overflow or Wraparound
Affected Product Tensorflow
Package Ecosystem PyPI
Published Date
Last Updated

Security Impact

CVSS: 9.8

The security impact metrics below are parsed directly from the CVSS v3.1 vector string (CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H).

Attack Vector Network (AV:N)
Attack Complexity Low (AC:L)
Privileges Required None (PR:N)
User Interaction None (UI:N)
Scope Unchanged (S:U)
Confidentiality High (C:H)
Integrity High (I:H)
Availability High (A:H)

How to Fix CVE-2018-7575

To remediate this vulnerability, upgrade all affected Tensorflow dependencies to a patched release. Both direct and transitive dependencies should be checked, as frameworks or security libraries may pull in vulnerable versions transitively.

tensorflow fixed: 1.7.1 
pip install tensorflow>=1.7.1
tensorflow-gpu fixed: 1.7.1 
pip install tensorflow-gpu>=1.7.1
Verify Direct and Transitive Dependencies

Run the following command in your project directory to verify that all resolved dependencies use the patched release: 

pip show tensorflow

How to Check if You Are Affected

To determine whether your Python environment is affected by CVE-2018-7575, inspect your installed packages using pip:

pip show tensorflow

Analyze the terminal output to locate any version of Tensorflow in your dependency tree. If any resolved version matches the vulnerable ranges listed in the table below (for example, versions earlier than 1.7.1), your application is affected.

Note: The pip show tensorflow command checks currently installed packages in your active Python environment.

Technical Details

Vulnerability Mechanism & Technical Analysis

This vulnerability is classified under CWE-190: Integer Overflow or Wraparound, where the product performs a calculation that can produce an integer overflow or wraparound when the logic assumes that the resulting value will always be larger than the original value. this occurs when an integer value is incremented to a value that is too large to store in the associated representation. when this occurs, the value may become a very small or negative number. In Tensorflow, software state validation or input boundaries are circumvented during processing. Review the official source advisory statement below for specific affected components, classes, and reproduction details.

Source Advisory Statement

### Issue Description Google TensorFlow 1.7.x and earlier is affected by a Buffer Overflow vulnerability. The type of exploitation is context-dependent. The block size in meta file might contain a large int64 value which causes an integer overflow upon addition. Subsequent code using n as index may cause an out-of-bounds read. ### Impact A maliciously crafted meta checkpoint could be used to cause the TensorFlow process to perform an out of bounds read on in process memory.

CVE-2018-7575 Affected Tensorflow Versions

2 component(s)
Fixed Versions:
1.7.1
Product / Package Ecosystem Affected Versions Fixed Version
tensorflow
pypi/tensorflow
PyPI
≥ 1.0.0
< 1.7.1
1.7.1
tensorflow-gpu
pypi/tensorflow-gpu
PyPI
≥ 1.0.0
< 1.7.1
1.7.1

References

NVD — CVE-2018-7575 NVD
https://nvd.nist.gov/vuln/detail/CVE-2018-7575
Security Fix Commit FIX COMMIT
https://github.com/tensorflow/tensorflow/commit/d107fee1e4a9a4462f01564798d345802acc2aef
GitHub Advisory / Wiki ADVISORY
https://github.com/advisories/GHSA-mw6v-crh8-8533
Tensorflow Source Repository REPOSITORY
https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2019-223.yaml
Tensorflow Source Repository REPOSITORY
https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2019-230.yaml
Tensorflow Source Repository REPOSITORY
https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2019-205.yaml
Tensorflow Source Repository REPOSITORY
https://github.com/tensorflow/tensorflow
Tensorflow Source Repository REPOSITORY
https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2018-004.md

Frequently Asked Questions

What is CVE-2018-7575?
CVE-2018-7575 is a security vulnerability in Tensorflow involving Integer Overflow or Wraparound in Google TensorFlow under CWE-190: Integer Overflow or Wraparound.
Which Tensorflow versions are affected?
Affected versions include releases prior to 1.7.1 across affected packages: tensorflow, tensorflow-gpu.
What version fixes CVE-2018-7575?
Upgrading to 1.7.1 (or the latest patched release for your respective branch) resolves the vulnerability.
Is tensorflow affected?
Yes, tensorflow is affected in releases prior to 1.7.1. Upgrade your dependency to 1.7.1 or later.
Is tensorflow-gpu affected?
Yes, tensorflow-gpu is affected in releases prior to 1.7.1. Upgrade your dependency to 1.7.1 or later.
What is the CVSS score of CVE-2018-7575?
CVE-2018-7575 has a CVSS v3.1 base score of 9.8 (CRITICAL) with vector string CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H.
What CWE is associated with CVE-2018-7575?
CVE-2018-7575 is classified under CWE-190: Integer Overflow or Wraparound (The product performs a calculation that can produce an integer overflow or wraparound when the logic assumes that the resulting value will always be larger than the original value. This occurs when an integer value is incremented to a value that is too large to store in the associated representation. When this occurs, the value may become a very small or negative number.).
How can I check PyPI dependencies for CVE-2018-7575?
Run the dependency tree command: 'pip show tensorflow'. This command lists direct and transitive dependencies in your build configuration so you can verify if a vulnerable version is resolved.
Machine-readable OSV JSON OSV v1.5 Schema
Normalized schema output
View Raw JSON 
{
  "schema_version" : "1.4.0",
  "id" : "GHSA-mw6v-crh8-8533",
  "modified" : "2024-10-28T14:24:41Z",
  "published" : "2019-04-30T15:36:41Z",
  "aliases" : [ "CVE-2018-7575" ],
  "summary" : "Integer Overflow or Wraparound in Google TensorFlow",
  "details" : "### Issue Description\nGoogle TensorFlow 1.7.x and earlier is affected by a Buffer Overflow vulnerability. The type of exploitation is context-dependent. The block size in meta file might contain a large int64 value which causes an integer overflow upon addition. Subsequent code using n as index may cause an out-of-bounds read.\n\n### Impact\nA maliciously crafted meta checkpoint could be used to cause the TensorFlow process to perform an out of bounds read on in process memory.\n",
  "severity" : [ {
    "type" : "CVSS_V3",
    "score" : "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H"
  }, {
    "type" : "CVSS_V4",
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  } ],
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    },
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    } ]
  } ],
  "references" : [ {
    "type" : "ADVISORY",
    "url" : "https://nvd.nist.gov/vuln/detail/CVE-2018-7575"
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    "type" : "WEB",
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  }, {
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  }, {
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  }, {
    "type" : "WEB",
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    "url" : "https://github.com/tensorflow/tensorflow"
  }, {
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    "url" : "https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2018-004.md"
  } ],
  "database_specific" : {
    "cwe_ids" : [ "CWE-190" ],
    "severity" : "CRITICAL",
    "github_reviewed" : true,
    "github_reviewed_at" : "2019-04-30T15:16:08Z",
    "nvd_published_at" : "2019-04-24T21:29:00Z"
  }
}