CVE-2020-15198— Heap buffer overflow in Tensorflow
Get alerts for future matching vulnerabilitiesLog in to subscribe
I. Basic Information for CVE-2020-15198
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View Shenlong Deep Dive ↗ Although we use advanced large model technology, its output may still contain inaccurate or outdated information.Shenlong tries to ensure data accuracy, but please verify and judge based on the actual situation.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
Heap buffer overflow in Tensorflow
Source: NVD (National Vulnerability Database)
Vulnerability Description
In Tensorflow before version 2.3.1, the `SparseCountSparseOutput` implementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that the `indices` tensor has the same shape as the `values` one. The values in these tensors are always accessed in parallel. Thus, a shape mismatch can result in accesses outside the bounds of heap allocated buffers. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.
Source: NVD (National Vulnerability Database)
CVSS Information
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:L/I:L/A:N
Source: NVD (National Vulnerability Database)
Vulnerability Type
堆缓冲区溢出
Source: NVD (National Vulnerability Database)
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 2.3.1版本中存在缓冲区错误漏洞，该漏洞源于SparseCountSparseOutput实现无法验证输入参数是否形成有效的稀疏张量，该漏洞允许攻击者访问超出堆分配缓冲区的范围。
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 | >= 2.3.0, < 2.3.1 | - |
II. Public POCs for CVE-2020-15198
| # | POC Description | Source Link | Shenlong Link |
|---|
AI-Generated POCPremium
No public POC found.
Login to generate AI POCIII. Intelligence Information for CVE-2020-15198
请登录查看更多情报信息。
- https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1x_refsource_MISC
- https://nvd.nist.gov/vuln/detail/CVE-2020-15198
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-2020-15190 | 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
Same product: tensorflow
Same vendor: tensorflow
- CVE-2026-2492
TensorFlow HDF5 Library Uncontrolled Search Path Element Loc - CVE-2023-33976
TensorFlow segfault in array_ops.upper_bound - CVE-2024-3660
Arbitrary code injection vulnerability in Keras framework < - CVE-2023-25661
Denial of Service in TensorFlow - CVE-2023-25660
TensorFlow vulnerable to seg fault in `tf.raw_ops.Print`
V. Comments for CVE-2020-15198
No comments yet