CVE-2018-10055: Tensorflow Improper Restriction Of Operations Within Vulnerability

HIGH
Advisory Identifier: GHSA-q492-f7gr-27rp
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CVSS 8.1
CWE-119
Published
Advisory Summary

CVE-2018-10055 is a HIGH (CVSS 8.1) improper restriction of operations within vulnerability (CWE-119: Improper Restriction of Operations within the Bounds of a Memory Buffer) affecting Tensorflow libraries in the PyPI ecosystem. The issue involves improper restriction of operations within the bounds of a memory buffer in google tensorflow. Remediation is available by upgrading affected packages to version 1.7.1.

CVE-2018-10055 at a Glance

CVE Identifier CVE-2018-10055
GHSA Identifier GHSA-q492-f7gr-27rp
Severity HIGH
CVSS v3.1 Base Score 8.1
CWE Classification CWE-119: Improper Restriction of Operations within the Bounds of a Memory Buffer
Affected Product Tensorflow
Package Ecosystem PyPI
Published Date
Last Updated

Security Impact

CVSS: 8.1

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:R/S:U/C:H/I:N/A:H).

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

How to Fix CVE-2018-10055

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-2018-10055, 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-119: Improper Restriction of Operations within the Bounds of a Memory Buffer, where the product performs operations on a memory buffer, but it reads from or writes to a memory location outside the buffer's intended boundary. this may result in read or write operations on unexpected memory locations that could be linked to other variables, data structures, or internal program data. 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

Invalid memory access and/or a heap buffer overflow in the TensorFlow XLA compiler in Google TensorFlow before 1.7.1 could cause a crash or read from other parts of process memory via a crafted configuration file.

CVE-2018-10055 Affected Tensorflow Versions

2 component(s)
Fixed Versions:
1.7.1
Product / Package Ecosystem Affected Versions Fixed Version
tensorflow
pypi/tensorflow
PyPI
≥ 1.1.0
< 1.7.1
1.7.1
tensorflow-gpu
pypi/tensorflow-gpu
PyPI
≥ 1.1.0
< 1.7.1
1.7.1

References

NVD — CVE-2018-10055 NVD
https://nvd.nist.gov/vuln/detail/CVE-2018-10055
Security Fix Commit FIX COMMIT
https://github.com/tensorflow/tensorflow/commit/c89ab82a82585cdaa90bf4911980e9e845909e78
GitHub Advisory / Wiki ADVISORY
https://github.com/advisories/GHSA-q492-f7gr-27rp
Tensorflow Source Repository REPOSITORY
https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2019-222.yaml
Tensorflow Source Repository REPOSITORY
https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2019-229.yaml
Tensorflow Source Repository REPOSITORY
https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2019-204.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-2018-006.md

Frequently Asked Questions

What is CVE-2018-10055?
CVE-2018-10055 is a security vulnerability in Tensorflow involving Improper Restriction of Operations within the Bounds of a Memory Buffer in Google TensorFlow under CWE-119: Improper Restriction of Operations within the Bounds of a Memory Buffer.
Which Tensorflow versions are affected?
Affected versions include releases prior to 1.7.1 across affected packages: tensorflow, tensorflow-gpu.
What version fixes CVE-2018-10055?
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-2018-10055?
CVE-2018-10055 has a CVSS v3.1 base score of 8.1 (HIGH) with vector string CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:H.
What CWE is associated with CVE-2018-10055?
CVE-2018-10055 is classified under CWE-119: Improper Restriction of Operations within the Bounds of a Memory Buffer (The product performs operations on a memory buffer, but it reads from or writes to a memory location outside the buffer's intended boundary. This may result in read or write operations on unexpected memory locations that could be linked to other variables, data structures, or internal program data.).
How can I check PyPI dependencies for CVE-2018-10055?
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-q492-f7gr-27rp",
  "modified" : "2024-10-28T14:10:11Z",
  "published" : "2019-04-30T15:37:31Z",
  "aliases" : [ "CVE-2018-10055" ],
  "summary" : "Improper Restriction of Operations within the Bounds of a Memory Buffer in Google TensorFlow",
  "details" : "Invalid memory access and/or a heap buffer overflow in the TensorFlow XLA compiler in Google TensorFlow before 1.7.1 could cause a crash or read from other parts of process memory via a crafted configuration file.",
  "severity" : [ {
    "type" : "CVSS_V3",
    "score" : "CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:H"
  }, {
    "type" : "CVSS_V4",
    "score" : "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:H/VI:N/VA:H/SC:N/SI:N/SA:N"
  } ],
  "affected" : [ {
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    },
    "ranges" : [ {
      "type" : "ECOSYSTEM",
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        "introduced" : "1.1.0"
      }, {
        "fixed" : "1.7.1"
      } ]
    } ]
  }, {
    "package" : {
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      "name" : "tensorflow-gpu"
    },
    "ranges" : [ {
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      }, {
        "fixed" : "1.7.1"
      } ]
    } ]
  } ],
  "references" : [ {
    "type" : "ADVISORY",
    "url" : "https://nvd.nist.gov/vuln/detail/CVE-2018-10055"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/tensorflow/tensorflow/commit/c89ab82a82585cdaa90bf4911980e9e845909e78"
  }, {
    "type" : "ADVISORY",
    "url" : "https://github.com/advisories/GHSA-q492-f7gr-27rp"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2019-222.yaml"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2019-229.yaml"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2019-204.yaml"
  }, {
    "type" : "PACKAGE",
    "url" : "https://github.com/tensorflow/tensorflow"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2018-006.md"
  } ],
  "database_specific" : {
    "cwe_ids" : [ "CWE-119" ],
    "severity" : "HIGH",
    "github_reviewed" : true,
    "github_reviewed_at" : "2019-04-30T15:15:53Z",
    "nvd_published_at" : "2019-04-24T17:29:00Z"
  }
}