CVE-2020-26271 Security Vulnerability & Exploit Details

CVE-2020-26271
Vulnerability Scoring

3.3

/10

Moderate Risk

Exploiting CVE-2020-26271 requires specific conditions, leading to a moderate security impact.

Attack Complexity Details

Attack Complexity: Low
Exploits can be performed without significant complexity or special conditions.
Attack Vector: Local
Vulnerability requires local system access.
Privileges Required: Low
Some privileges are necessary to exploit the vulnerability.
Scope: Unchanged
Exploit remains within the originally vulnerable component.
User Interaction: None
No user interaction is necessary for exploitation.

CVE-2020-26271 Details

Status: Analyzed

Last updated: 🕡 14 Dec 2020, 18:35 UTC
Originally published on: 🕙 10 Dec 2020, 22:15 UTC

Time between publication and last update: 3 days

CVSS Release: version 3

CVSS3 Source

nvd@nist.gov

CVSS3 Type

Primary

CVSS3 Vector

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

CVE-2020-26271 Vulnerability Summary

CVE-2020-26271: In affected versions of TensorFlow under certain cases, loading a saved model can result in accessing uninitialized memory while building the computation graph. The MakeEdge function creates an edge between one output tensor of the src node (given by output_index) and the input slot of the dst node (given by input_index). This is only possible if the types of the tensors on both sides coincide, so the function begins by obtaining the corresponding DataType values and comparing these for equality. However, there is no check that the indices point to inside of the arrays they index into. Thus, this can result in accessing data out of bounds of the corresponding heap allocated arrays. In most scenarios, this can manifest as unitialized data access, but if the index points far away from the boundaries of the arrays this can be used to leak addresses from the library. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0.

Assessing the Risk of CVE-2020-26271

Access Complexity Graph

The exploitability of CVE-2020-26271 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-2020-26271

CVE-2020-26271 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-2020-26271, 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-2020-26271, showing how Confidentiality, Integrity, and Availability might be affected if the vulnerability is exploited. Higher values usually signal greater potential damage.

Confidentiality: Low
CVE-2020-26271 could lead to minor leaks of non-critical information without major privacy breaches.
Integrity: None
CVE-2020-26271 poses no threat to data integrity.
Availability: None
CVE-2020-26271 does not impact system availability.

Exploit Prediction Scoring System (EPSS)

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

EPSS Score: 0.044% (probability of exploit)

EPSS Percentile: 15.52% (lower percentile = lower relative risk)
This vulnerability is less risky than approximately 84.48% of others.

CVE-2020-26271 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

cpe:2.3:a:google:tensorflow:-:*:*:*:-:*:*:*
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cpe:2.3:a:google:tensorflow:0.5.0:*:*:*:lite:*:*:*
cpe:2.3:a:google:tensorflow:0.6.0:*:*:*:*:*:*:*
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