CVE-2020-15204— Segfault in Tensorflow
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I. Basic Information for CVE-2020-15204
Vulnerability Information
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Vulnerability Title
Segfault in Tensorflow
Source: NVD (National Vulnerability Database)
Vulnerability Description
In eager mode, TensorFlow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1 does not set the session state. Hence, calling `tf.raw_ops.GetSessionHandle` or `tf.raw_ops.GetSessionHandleV2` results in a null pointer dereference In linked snippet, in eager mode, `ctx->session_state()` returns `nullptr`. Since code immediately dereferences this, we get a segmentation fault. The issue is patched in commit 9a133d73ae4b4664d22bd1aa6d654fec13c52ee1, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.
Source: NVD (National Vulnerability Database)
CVSS Information
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L
Source: NVD (National Vulnerability Database)
Vulnerability Type
空指针解引用
Source: NVD (National Vulnerability Database)
Vulnerability Title
Google TensorFlow 代码问题漏洞
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 eager mode 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版本中存在安全漏洞，该漏洞允许攻击者造成分段错误。。
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 | < 1.15.4 | - |
II. Public POCs for CVE-2020-15204
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|---|
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- https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1x_refsource_MISC
- http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.htmlvendor-advisoryx_refsource_SUSE
- https://nvd.nist.gov/vuln/detail/CVE-2020-15204
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-2020-15210 | 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 |
Showing top 20 of 25 CVEs. View all on vendor page → →
IV. Related Vulnerabilities
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