CVE-2019-16778 Vulnerability Analysis & Exploit Details

CVE-2019-16778
Vulnerability Scoring

2.6
/10
Low Risk

Security experts classify CVE-2019-16778 as a minor vulnerability with limited consequences.

Attack Complexity Details

  • Attack Complexity: High
    Exploits require significant effort and special conditions.
  • Attack Vector: Network
    Vulnerability is exploitable over a network without physical access.
  • Privileges Required: Low
    Some privileges are necessary to exploit the vulnerability.
  • Scope: Unchanged
    Exploit remains within the originally vulnerable component.
  • User Interaction: Required
    User interaction is necessary for successful exploitation.

CVE-2019-16778 Details

Status: Modified

Last updated: 🕟 21 Nov 2024, 04:31 UTC
Originally published on: 🕘 16 Dec 2019, 21:15 UTC

Time between publication and last update: 1801 days

CVSS Release: version 3

CVSS3 Source

security-advisories@github.com

CVSS3 Type

Secondary

CVSS3 Vector

CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:L

CVE-2019-16778 Vulnerability Summary

CVE-2019-16778: In TensorFlow before 1.15, a heap buffer overflow in UnsortedSegmentSum can be produced when the Index template argument is int32. In this case data_size and num_segments fields are truncated from int64 to int32 and can produce negative numbers, resulting in accessing out of bounds heap memory. This is unlikely to be exploitable and was detected and fixed internally in TensorFlow 1.15 and 2.0.

Assessing the Risk of CVE-2019-16778

Access Complexity Graph

The exploitability of CVE-2019-16778 depends on two key factors: attack complexity (the level of effort required to execute an exploit) and privileges required (the access level an attacker needs).

Exploitability Analysis for CVE-2019-16778

This vulnerability, CVE-2019-16778, requires a high level of attack complexity and low privileges, making it difficult but not impossible to exploit. Organizations should ensure robust security configurations to mitigate risks.

Understanding AC and PR

A lower complexity and fewer privilege requirements make exploitation easier. Security teams should evaluate these aspects to determine the urgency of mitigation strategies, such as patch management and access control policies.

Attack Complexity (AC) measures the difficulty in executing an exploit. A high AC means that specific conditions must be met, making an attack more challenging, while a low AC means the vulnerability can be exploited with minimal effort.

Privileges Required (PR) determine the level of system access necessary for an attack. Vulnerabilities requiring no privileges are more accessible to attackers, whereas high privilege requirements limit exploitation to authorized users with elevated access.

CVSS Score Breakdown Chart

Above is the CVSS Sub-score Breakdown for CVE-2019-16778, illustrating how Base, Impact, and Exploitability factors combine to form the overall severity rating. A higher sub-score typically indicates a more severe or easier-to-exploit vulnerability.

CIA Impact Analysis

Below is the Impact Analysis for CVE-2019-16778, showing how Confidentiality, Integrity, and Availability might be affected if the vulnerability is exploited. Higher values usually signal greater potential damage.

  • Confidentiality: None
    CVE-2019-16778 has no significant impact on data confidentiality.
  • Integrity: None
    CVE-2019-16778 poses no threat to data integrity.
  • Availability: Low
    CVE-2019-16778 may slightly degrade system performance without fully affecting service availability.

Exploit Prediction Scoring System (EPSS)

The EPSS score estimates the probability that this vulnerability will be exploited in the near future.

EPSS Score: 0.278% (probability of exploit)

EPSS Percentile: 68.5% (lower percentile = lower relative risk)
This vulnerability is less risky than approximately 31.5% of others.

CVE-2019-16778 References

External References

CWE Common Weakness Enumeration

CWE-681

Vulnerable Configurations

  • cpe:2.3:a:google:tensorflow:1.0.0:-:*:*:*:*:*:*
    cpe:2.3:a:google:tensorflow:1.0.0:-:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.0.0:-:*:*:lite:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.0.0:rc0:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.0.0:rc0:*:*:-:*:*:*
    cpe:2.3:a:google:tensorflow:1.0.0:rc0:*:*:-:*:*:*
  • cpe:2.3:a:google:tensorflow:1.0.0:rc0:*:*:lite:*:*:*
    cpe:2.3:a:google:tensorflow:1.0.0:rc0:*:*:lite:*:*:*
  • cpe:2.3:a:google:tensorflow:1.0.0:rc1:*:*:*:*:*:*
    cpe:2.3:a:google:tensorflow:1.0.0:rc1:*:*:*:*:*:*
  • cpe:2.3:a:google:tensorflow:1.0.0:rc1:*:*:-:*:*:*
    cpe:2.3:a:google:tensorflow:1.0.0:rc1:*:*:-:*:*:*
  • cpe:2.3:a:google:tensorflow:1.0.0:rc1:*:*:lite:*:*:*
    cpe:2.3:a:google:tensorflow:1.0.0:rc1:*:*:lite:*:*:*
  • cpe:2.3:a:google:tensorflow:1.0.0:rc2:*:*:*:*:*:*
    cpe:2.3:a:google:tensorflow:1.0.0:rc2:*:*:*:*:*:*
  • cpe:2.3:a:google:tensorflow:1.0.0:rc2:*:*:-:*:*:*
    cpe:2.3:a:google:tensorflow:1.0.0:rc2:*:*:-:*:*:*
  • cpe:2.3:a:google:tensorflow:1.0.0:rc2:*:*:lite:*:*:*
    cpe:2.3:a:google:tensorflow:1.0.0:rc2:*:*:lite:*:*:*
  • cpe:2.3:a:google:tensorflow:1.0.0:alpha:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.0.0:alpha:*:*:-:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.0.0:alpha:*:*:lite:*:*:*
    cpe:2.3:a:google:tensorflow:1.0.0:alpha:*:*:lite:*:*:*
  • cpe:2.3:a:google:tensorflow:1.0.1:*:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.1.0:rc2:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.2.0:-:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.9.0:-:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.9.0:rc0:*:*:-:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.9.0:rc1:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.9.0:rc1:*:*:-:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.9.0:rc2:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.12.0:rc2:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.13.0:rc0:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.13.0:rc1:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.13.0:rc1:*:*:-:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.13.0:rc1:*:*:lite:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.13.0:rc2:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.13.0:rc2:*:*:-:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.13.1:*:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.14.0:-:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.14.0:rc0:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.14.0:rc0:*:*:-:*:*:*
    cpe:2.3:a:google:tensorflow:1.14.0:rc0:*:*:-:*:*:*
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    cpe:2.3:a:google:tensorflow:1.14.0:rc0:*:*:lite:*:*:*
  • cpe:2.3:a:google:tensorflow:1.14.0:rc1:*:*:*:*:*:*
    cpe:2.3:a:google:tensorflow:1.14.0:rc1:*:*:*:*:*:*
  • cpe:2.3:a:google:tensorflow:1.14.0:rc1:*:*:-:*:*:*
    cpe:2.3:a:google:tensorflow:1.14.0:rc1:*:*:-:*:*:*
  • cpe:2.3:a:google:tensorflow:1.14.0:rc1:*:*:lite:*:*:*
    cpe:2.3:a:google:tensorflow:1.14.0:rc1:*:*:lite:*:*:*

Protect Your Infrastructure against CVE-2019-16778: Combat Critical CVE Threats

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