CVE-2022-41880 Security Vulnerability & Exploit Details

CVE-2022-41880
Vulnerability Scoring

6.8

/10

High Risk

If left unpatched, CVE-2022-41880 could lead to major system disruptions or data loss.

Attack Complexity Details

Attack Complexity: Low
Exploits can be performed without significant complexity or 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-2022-41880 Details

Status: Modified

Last updated: 🕖 21 Nov 2024, 07:23 UTC
Originally published on: 🕙 18 Nov 2022, 22:15 UTC

Time between publication and last update: 733 days

CVSS Release: version 3

CVSS3 Source

security-advisories@github.com

CVSS3 Type

Secondary

CVSS3 Vector

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

CVE-2022-41880 Vulnerability Summary

CVE-2022-41880: TensorFlow is an open source platform for machine learning. When the `BaseCandidateSamplerOp` function receives a value in `true_classes` larger than `range_max`, a heap oob read occurs. We have patched the issue in GitHub commit b389f5c944cadfdfe599b3f1e4026e036f30d2d4. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

Assessing the Risk of CVE-2022-41880

Access Complexity Graph

The exploitability of CVE-2022-41880 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-2022-41880

CVE-2022-41880 presents an accessible attack vector with minimal effort required. Restricting access controls and implementing security updates are critical to reducing exploitation 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-2022-41880, 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-2022-41880, showing how Confidentiality, Integrity, and Availability might be affected if the vulnerability is exploited. Higher values usually signal greater potential damage.

Confidentiality: Low
CVE-2022-41880 could lead to minor leaks of non-critical information without major privacy breaches.
Integrity: Low
Exploiting CVE-2022-41880 may cause minor changes to data without severely impacting its accuracy.
Availability: High
CVE-2022-41880 can disrupt system operations, potentially causing complete denial of service (DoS).

Exploit Prediction Scoring System (EPSS)

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

EPSS Score: 0.311% (probability of exploit)

EPSS Percentile: 70.22% (lower percentile = lower relative risk)
This vulnerability is less risky than approximately 29.78% of others.

CVE-2022-41880 References

External References

CWE Common Weakness Enumeration

CWE-125

CAPEC Common Attack Pattern Enumeration and Classification

Overread Buffers CAPEC-540 An adversary attacks a target by providing input that causes an application to read beyond the boundary of a defined buffer. This typically occurs when a value influencing where to start or stop reading is set to reflect positions outside of the valid memory location of the buffer. This type of attack may result in exposure of sensitive information, a system crash, or arbitrary code execution.

Vulnerable Configurations

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cpe:2.3:a:google:tensorflow:2.4.0:rc4:*:*:*:*:*:*
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cpe:2.3:a:google:tensorflow:2.4.4:*:*:*:*:*:*:*
cpe:2.3:a:google:tensorflow:2.4.4:*:*:*:*:*:*:*
cpe:2.3:a:google:tensorflow:2.5.0:-:*:*:*:*:*:*
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cpe:2.3:a:google:tensorflow:2.10.0:*:*:*:*:*:*:*
cpe:2.3:a:google:tensorflow:2.10.0:*:*:*:*:*:*:*

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