CVE-2020-15205— Data leak 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。 Tensorflow 1.15.4之前版本, 2.0.3版本, 2.1.2版本, 2.2.1版本，2.3.1版本中存在缓冲区错误漏洞，该漏洞源于tf.raw_ops.StringNGrams的data_splits参数缺乏验证，该漏洞允许攻击者造成数据泄露。
Possible ATT&CK Techniques 2 AI
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I. Basic Information for CVE-2020-15205
Vulnerability Information
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Vulnerability Title
Data leak in Tensorflow
Source: CVE Program / CVE List V5
Vulnerability Description
In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the `data_splits` argument of `tf.raw_ops.StringNGrams` lacks validation. This allows a user to pass values that can cause heap overflow errors and even leak contents of memory In the linked code snippet, all the binary strings after `ee ff` are contents from the memory stack. Since these can contain return addresses, this data leak can be used to defeat ASLR. The issue is patched in commit 0462de5b544ed4731aa2fb23946ac22c01856b80, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.
Source: CVE Program / CVE List V5
CVSS Information
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:H
Source: CVE Program / CVE List V5
Vulnerability Type
堆缓冲区溢出
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。 Tensorflow 1.15.4之前版本, 2.0.3版本, 2.1.2版本, 2.2.1版本，2.3.1版本中存在缓冲区错误漏洞，该漏洞源于tf.raw_ops.StringNGrams的data_splits参数缺乏验证，该漏洞允许攻击者造成数据泄露。
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 | < 1.15.4 | - |
|
II. Public POCs for CVE-2020-15205
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|---|
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Patches & Fixes for CVE-2020-15205 (1)
Vendor Advisories for CVE-2020-15205 (1)
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https://github.com/tensorflow/tensorflow/security/advisories/GHSA-g7p5-5759-qv46 x_refsource_CONFIRM
Mailing List Discussions for CVE-2020-15205 (1)
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http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.html vendor-advisory x_refsource_SUSE
Other References for CVE-2020-15205 (1)
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https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1 x_refsource_MISC
Same Patch Batch · tensorflow · 2020-09-25 · 25 CVEs total
| CVE-2020-15202 | 9.0 CRITICAL | Integer truncation in Shard API usage |
| CVE-2020-15206 | 9.0 CRITICAL | Denial of Service in Tensorflow |
| CVE-2020-15207 | 8.7 HIGH | Segfault and data corruption in tensorflow-lite |
| CVE-2020-15196 | 8.5 HIGH | Heap buffer overflow in Tensorflow |
| CVE-2020-15195 | 8.5 HIGH | Heap buffer overflow in Tensorflow |
| CVE-2020-15212 | 8.1 HIGH | Out of bounds access in tensorflow-lite |
| CVE-2020-15214 | 8.1 HIGH | Out of bounds write in tensorflow-lite |
| CVE-2020-15203 | 7.5 HIGH | Denial of Service in Tensorflow |
| CVE-2020-15208 | 7.4 HIGH | Data corruption in tensorflow-lite |
| CVE-2020-15193 | 7.1 HIGH | Memory corruption in Tensorflow |
| CVE-2020-15210 | 6.5 MEDIUM | Segmentation fault in tensorflow-lite |
| CVE-2020-15197 | 6.3 MEDIUM | Denial of Service in Tensorflow |
| CVE-2020-15209 | 5.9 MEDIUM | Null pointer dereference in tensorflow-lite |
| CVE-2020-15199 | 5.9 MEDIUM | Denial of Service in Tensorflow |
| CVE-2020-15200 | 5.9 MEDIUM | Segfault in Tensorflow |
| CVE-2020-15198 | 5.4 MEDIUM | Heap buffer overflow in Tensorflow |
| CVE-2020-15190 | 5.3 MEDIUM | Segfault in Tensorflow |
| CVE-2020-15191 | 5.3 MEDIUM | Undefined behavior in Tensorflow |
| CVE-2020-15194 | 5.3 MEDIUM | Denial of Service in Tensorflow |
| CVE-2020-15204 | 5.3 MEDIUM | Segfault in Tensorflow |
Showing top 20 of 25 CVEs. View all on vendor page → →
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