Goal Reached Thanks to every supporter — we hit 100%!

Goal: 1000 CNY · Raised: 1359 CNY

100%

CVE-2020-26267— Lack of validation in data format attributes in TensorFlow

Quick assessment

Affected
tensorflow tensorflow
Exploitation
No confirmed in-the-wild exploitation; assess based on exposure
Recommended action
Check the vendor advisory and references for a fixed version. If immediate upgrade is impossible, restrict exposure and increase monitoring.

Google TensorFlow是美国谷歌(Google)公司的一套用于机器学习的端到端开源平台。 Google TensorFlow 存在缓冲区错误漏洞,该漏洞源于DataFormatVecPermute API不验证src格式和dst格式属性。攻击者可以利用该漏洞使应用崩溃。以下产品及版本受到影响:1.15.5、2.0.4、2.1.3、2.2.2、2.3.2、2.4.0。

CVSS 4.4 · Medium EPSS 0.24% · P14

Possible ATT&CK Techniques 1 AI

T1203 · Exploitation for Client Execution
Get alerts for future matching vulnerabilities Log in to subscribe

I. Basic Information for CVE-2020-26267

Vulnerability Information

Have questions about the vulnerability? See if Shenlong's analysis helps!
View Shenlong Deep Dive ↗

Although we use advanced large model technology, its output may still contain inaccurate or outdated information.Shenlong tries to ensure data accuracy, but please verify and judge based on the actual situation.

Vulnerability Title
Lack of validation in data format attributes in TensorFlow
Source: CVE Program / CVE List V5
Vulnerability Description
In affected versions of TensorFlow the tf.raw_ops.DataFormatVecPermute API does not validate the src_format and dst_format attributes. The code assumes that these two arguments define a permutation of NHWC. This can result in uninitialized memory accesses, read outside of bounds and even crashes. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0.
Source: CVE Program / CVE List V5
CVSS Information
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:L
Source: CVE Program / CVE List V5
Vulnerability Type
跨界内存读
Source: CVE Program / CVE List V5
Vulnerability Title
Google TensorFlow 缓冲区错误漏洞
Source: CNNVD (China National Vulnerability Database)
Vulnerability Description
Google TensorFlow是美国谷歌(Google)公司的一套用于机器学习的端到端开源平台。 Google TensorFlow 存在缓冲区错误漏洞,该漏洞源于DataFormatVecPermute API不验证src格式和dst格式属性。攻击者可以利用该漏洞使应用崩溃。以下产品及版本受到影响:1.15.5、2.0.4、2.1.3、2.2.2、2.3.2、2.4.0。
Source: CNNVD (China National Vulnerability Database)
CVSS Information
N/A
Source: CNNVD (China National Vulnerability Database)
Vulnerability Type
N/A
Source: CNNVD (China National Vulnerability Database)

Affected Products

Vendor Product Affected Versions CPE Subscribe
tensorflow tensorflow < 1.15.5 -

II. Public POCs for CVE-2020-26267

# POC Description Source Link Shenlong Link
AI-Generated POC Premium

No public POC found.

Login to generate AI POC

III. Intelligence Information for CVE-2020-26267

请登录查看更多情报信息。

Patches & Fixes for CVE-2020-26267 (1)

Vendor Advisories for CVE-2020-26267 (1)

Same Patch Batch · tensorflow · 2020-12-10 · 6 CVEs total

CVE-2020-26271 4.4 MEDIUM Heap out of bounds access in MakeEdge in TensorFlow
CVE-2020-26270 4.4 MEDIUM CHECK-fail in LSTM with zero-length input in TensorFlow
CVE-2020-26268 4.4 MEDIUM Write to immutable memory region in TensorFlow
CVE-2020-26266 4.4 MEDIUM Uninitialized memory access in Eigen types in TensorFlow
CVE-2020-26269 Heap out of bounds read in filesystem glob matching in TensorFlow

IV. Related Vulnerabilities

V. Comments for CVE-2020-26267

No comments yet


Leave a comment