CVE-2020-15210— Segmentation fault in tensorflow-lite
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-lite 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，该漏洞允许攻击者观察到分段错误或仅内存损坏。
Possible ATT&CK Techniques 1 AI
T1190 · Exploit Public-Facing Application
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I. Basic Information for CVE-2020-15210
Vulnerability Information
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Vulnerability Title
Segmentation fault in tensorflow-lite
Source: CVE Program / CVE List V5
Vulnerability Description
In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, if a TFLite saved model uses the same tensor as both input and output of an operator, then, depending on the operator, we can observe a segmentation fault or just memory corruption. We have patched the issue in d58c96946b and will release patch releases for all versions between 1.15 and 2.3. We recommend users to upgrade to TensorFlow 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:U/C:N/I:L/A:H
Source: CVE Program / CVE List V5
Vulnerability Type
输入验证不恰当
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-lite 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，该漏洞允许攻击者观察到分段错误或仅内存损坏。
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-2020-15210
| # | POC Description | Source Link | Shenlong Link |
|---|
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Patches & Fixes for CVE-2020-15210 (1)
Vendor Advisories for CVE-2020-15210 (1)
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https://github.com/tensorflow/tensorflow/security/advisories/GHSA-x9j7-x98r-r4w2 x_refsource_CONFIRM
Mailing List Discussions for CVE-2020-15210 (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-2020-15210 (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-2020-15205 | 9.0 CRITICAL | Data leak in Tensorflow |
| 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-2020-15197 | 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-2020-15204 | 5.3 MEDIUM | Segfault in Tensorflow |
| CVE-2020-15194 | 5.3 MEDIUM | Denial of Service in Tensorflow |
Showing top 20 of 25 CVEs. View all on vendor page → →
IV. Related Vulnerabilities
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V. Comments for CVE-2020-15210
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