4.0
MEDIUM
CVE-2020-15213
TensorFlow Lite Denial of Service (DoS) JTextField
Description

In TensorFlow Lite before versions 2.2.1 and 2.3.1, models using segment sum can trigger a denial of service by causing an out of memory allocation in the implementation of segment sum. Since code uses the last element of the tensor holding them to determine the dimensionality of output tensor, attackers can use a very large value to trigger a large allocation. The issue is patched in commit 204945b19e44b57906c9344c0d00120eeeae178a and is released in TensorFlow versions 2.2.1, or 2.3.1. A potential workaround would be to add a custom `Verifier` to limit the maximum value in the segment ids tensor. This only handles the case when the segment ids are stored statically in the model, but a similar validation could be done if the segment ids are generated at runtime, between inference steps. However, if the segment ids are generated as outputs of a tensor during inference steps, then there are no possible workaround and users are advised to upgrade to patched code.

INFO

Published Date :

Sept. 25, 2020, 7:15 p.m.

Last Modified :

Nov. 18, 2021, 5:28 p.m.

Source :

[email protected]

Remotely Exploitable :

Yes !

Impact Score :

1.4

Exploitability Score :

2.2
Affected Products

The following products are affected by CVE-2020-15213 vulnerability. Even if cvefeed.io is aware of the exact versions of the products that are affected, the information is not represented in the table below.

ID Vendor Product Action
1 Google tensorflow
: Total Affected Vendor : 1 | Products : 1
References to Advisories, Solutions, and Tools

Here, you will find a curated list of external links that provide in-depth information, practical solutions, and valuable tools related to CVE-2020-15213.

URL Resource
https://github.com/tensorflow/tensorflow/commit/204945b19e44b57906c9344c0d00120eeeae178a Patch Third Party Advisory
https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1 Third Party Advisory
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-hjmq-236j-8m87 Exploit Third Party Advisory

We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).

Results are limited to the first 15 repositories due to potential performance issues.

The following list is the news that have been mention CVE-2020-15213 vulnerability anywhere in the article.

The following table lists the changes that have been made to the CVE-2020-15213 vulnerability over time.

Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.

  • CVE Modified by [email protected]

    May. 14, 2024

    Action Type Old Value New Value
  • Reanalysis by [email protected]

    Nov. 18, 2021

    Action Type Old Value New Value
    Added CWE NIST CWE-770
  • CPE Deprecation Remap by [email protected]

    Aug. 17, 2021

    Action Type Old Value New Value
    Changed CPE Configuration OR *cpe:2.3:a:tensorflow:tensorflow:*:*:*:*:lite:*:*:* versions from (including) 2.3.0 from (excluding) 2.3.1 OR *cpe:2.3:a:google:tensorflow:*:*:*:*:lite:*:*:* versions from (including) 2.3.0 from (excluding) 2.3.1
  • CPE Deprecation Remap by [email protected]

    Aug. 17, 2021

    Action Type Old Value New Value
    Changed CPE Configuration OR *cpe:2.3:a:tensorflow:tensorflow:*:*:*:*:lite:*:*:* versions from (including) 2.2.0 from (excluding) 2.2.1 OR *cpe:2.3:a:google:tensorflow:*:*:*:*:lite:*:*:* versions from (including) 2.2.0 from (excluding) 2.2.1
  • Initial Analysis by [email protected]

    Oct. 01, 2020

    Action Type Old Value New Value
    Added CVSS V2 NIST (AV:N/AC:M/Au:N/C:N/I:N/A:P)
    Added CVSS V3.1 NIST AV:N/AC:H/PR:N/UI:N/S:C/C:N/I:N/A:L
    Changed Reference Type https://github.com/tensorflow/tensorflow/commit/204945b19e44b57906c9344c0d00120eeeae178a No Types Assigned https://github.com/tensorflow/tensorflow/commit/204945b19e44b57906c9344c0d00120eeeae178a Patch, Third Party Advisory
    Changed Reference Type https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1 No Types Assigned https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1 Third Party Advisory
    Changed Reference Type https://github.com/tensorflow/tensorflow/security/advisories/GHSA-hjmq-236j-8m87 No Types Assigned https://github.com/tensorflow/tensorflow/security/advisories/GHSA-hjmq-236j-8m87 Exploit, Third Party Advisory
    Added CPE Configuration OR *cpe:2.3:a:tensorflow:tensorflow:*:*:*:*:lite:*:*:* versions from (including) 2.2.0 up to (excluding) 2.2.1 *cpe:2.3:a:tensorflow:tensorflow:*:*:*:*:lite:*:*:* versions from (including) 2.3.0 up to (excluding) 2.3.1
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days. Following chart shows the EPSS score history of the vulnerability.
CWE - Common Weakness Enumeration

While CVE identifies specific instances of vulnerabilities, CWE categorizes the common flaws or weaknesses that can lead to vulnerabilities. CVE-2020-15213 is associated with the following CWEs:

Common Attack Pattern Enumeration and Classification (CAPEC)

Common Attack Pattern Enumeration and Classification (CAPEC) stores attack patterns, which are descriptions of the common attributes and approaches employed by adversaries to exploit the CVE-2020-15213 weaknesses.

CAPEC-8: Buffer Overflow in an API Call Buffer Overflow in an API Call CAPEC-9: Buffer Overflow in Local Command-Line Utilities Buffer Overflow in Local Command-Line Utilities CAPEC-10: Buffer Overflow via Environment Variables Buffer Overflow via Environment Variables CAPEC-14: Client-side Injection-induced Buffer Overflow Client-side Injection-induced Buffer Overflow CAPEC-24: Filter Failure through Buffer Overflow Filter Failure through Buffer Overflow CAPEC-42: MIME Conversion MIME Conversion CAPEC-44: Overflow Binary Resource File Overflow Binary Resource File CAPEC-45: Buffer Overflow via Symbolic Links Buffer Overflow via Symbolic Links CAPEC-46: Overflow Variables and Tags Overflow Variables and Tags CAPEC-47: Buffer Overflow via Parameter Expansion Buffer Overflow via Parameter Expansion CAPEC-100: Overflow Buffers Overflow Buffers CAPEC-123: Buffer Manipulation Buffer Manipulation CAPEC-125: Flooding Flooding CAPEC-130: Excessive Allocation Excessive Allocation CAPEC-147: XML Ping of the Death XML Ping of the Death CAPEC-197: Exponential Data Expansion Exponential Data Expansion CAPEC-229: Serialized Data Parameter Blowup Serialized Data Parameter Blowup CAPEC-230: Serialized Data with Nested Payloads Serialized Data with Nested Payloads CAPEC-231: Oversized Serialized Data Payloads Oversized Serialized Data Payloads CAPEC-469: HTTP DoS HTTP DoS CAPEC-482: TCP Flood TCP Flood CAPEC-486: UDP Flood UDP Flood CAPEC-487: ICMP Flood ICMP Flood CAPEC-488: HTTP Flood HTTP Flood CAPEC-489: SSL Flood SSL Flood CAPEC-490: Amplification Amplification CAPEC-491: Quadratic Data Expansion Quadratic Data Expansion CAPEC-493: SOAP Array Blowup SOAP Array Blowup CAPEC-494: TCP Fragmentation TCP Fragmentation CAPEC-495: UDP Fragmentation UDP Fragmentation CAPEC-496: ICMP Fragmentation ICMP Fragmentation CAPEC-528: XML Flood XML Flood
Exploit Prediction

EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.

0.12 }} 0.02%

score

0.45397

percentile

CVSS31 - Vulnerability Scoring System
Attack Vector
Attack Complexity
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