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

Goal: 1000 CNY · Raised: 1336 CNY

100%
Buy Us a Coffee

CVE-2020-5215— Segmentation faultin TensorFlow when converting a Python string to tf.float16

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 1.15.2之前版本和2.0.1之前版本中字符串（从Python）转换为tf.float16类型的过程存在输入验证错误漏洞。远程攻击者可借助特制字符串利用该漏洞造成段错误。

CVSS 5.0 · Medium EPSS 0.59% · P47

Possible ATT&CK Techniques 1 AI

T1499 · Endpoint Denial of Service
Get alerts for future matching vulnerabilities Log in to subscribe

I. Basic Information for CVE-2020-5215

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Although we use advanced large model technology, its output may still contain inaccurate or outdated information.Shenlong tries to ensure data accuracy, but please verify and judge based on the actual situation.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
Segmentation faultin TensorFlow when converting a Python string to tf.float16
Source: CVE Program / CVE List V5
Vulnerability Description
In TensorFlow before 1.15.2 and 2.0.1, converting a string (from Python) to a tf.float16 value results in a segmentation fault in eager mode as the format checks for this use case are only in the graph mode. This issue can lead to denial of service in inference/training where a malicious attacker can send a data point which contains a string instead of a tf.float16 value. Similar effects can be obtained by manipulating saved models and checkpoints whereby replacing a scalar tf.float16 value with a scalar string will trigger this issue due to automatic conversions. This can be easily reproduced by tf.constant("hello", tf.float16), if eager execution is enabled. This issue is patched in TensorFlow 1.15.1 and 2.0.1 with this vulnerability patched. TensorFlow 2.1.0 was released after we fixed the issue, thus it is not affected. Users are encouraged to switch to TensorFlow 1.15.1, 2.0.1 or 2.1.0.
Source: CVE Program / CVE List V5
CVSS Information
CVSS:3.1/AV:L/AC:H/PR:L/UI:R/S:C/C:L/I:L/A:L
Source: CVE Program / CVE List V5
Vulnerability Type
对因果或异常条件的不恰当检查
Source: CVE Program / CVE List V5
Vulnerability Title
Google TensorFlow 输入验证错误漏洞
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 1.15.2之前版本和2.0.1之前版本中字符串（从Python）转换为tf.float16类型的过程存在输入验证错误漏洞。远程攻击者可借助特制字符串利用该漏洞造成段错误。
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 < 1.15.2 -

II. Public POCs for CVE-2020-5215

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

No public POC found.

Login to generate AI POC

III. Intelligence Information for CVE-2020-5215

请登录查看更多情报信息。

Patches & Fixes for CVE-2020-5215 (2)

Vendor Advisories for CVE-2020-5215 (1)

Other References for CVE-2020-5215 (1)

IV. Related Vulnerabilities

Same product: TensorFlow
Same vendor: TensorFlow
Same weakness: CWE-754

V. Comments for CVE-2020-5215

No comments yet

Leave a comment