CVE-2022-23594— Out of bounds read 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 存在缓冲区错误漏洞，如果攻击者可利用该漏洞改变磁盘上的SavedModel格式使这些假设无效，然后GraphDef被转换为基于mlir的IR，那么它们可能会导致Python解释器崩溃。
Possible ATT&CK Techniques 2 AI
T1059 · Command and Scripting Interpreter T1203 · Exploitation for Client Execution
Get alerts for future matching vulnerabilities
Log in to subscribe
I. Basic Information for CVE-2022-23594
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Although we use advanced large model technology, its output may still contain inaccurate or outdated information.Shenlong tries to ensure data accuracy, but please verify and judge based on the actual situation.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
Out of bounds read in Tensorflow
Source: CVE Program / CVE List V5
Vulnerability Description
Tensorflow is an Open Source Machine Learning Framework. The TFG dialect of TensorFlow (MLIR) makes several assumptions about the incoming `GraphDef` before converting it to the MLIR-based dialect. If an attacker changes the `SavedModel` format on disk to invalidate these assumptions and the `GraphDef` is then converted to MLIR-based IR then they can cause a crash in the Python interpreter. Under certain scenarios, heap OOB read/writes are possible. These issues have been discovered via fuzzing and it is possible that more weaknesses exist. We will patch them as they are discovered.
Source: CVE Program / CVE List V5
CVSS Information
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H
Source: CVE Program / CVE List V5
Vulnerability Type
跨界内存读
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 存在缓冲区错误漏洞，如果攻击者可利用该漏洞改变磁盘上的SavedModel格式使这些假设无效，然后GraphDef被转换为基于mlir的IR，那么它们可能会导致Python解释器崩溃。
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 | >= 2.7.0, < 2.8.0 | - |
|
II. Public POCs for CVE-2022-23594
| # | POC Description | Source Link | Shenlong Link |
|---|
AI-Generated POC
Premium
No public POC found.
Login to generate AI POCIII. Intelligence Information for CVE-2022-23594
请登录查看更多情报信息。
Vendor Advisories for CVE-2022-23594 (1)
-
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9x52-887g-fhc2 x_refsource_CONFIRM
Other References for CVE-2022-23594 (1)
Same Patch Batch · tensorflow · 2022-02-04 · 36 CVEs total
| CVE-2022-23561 | 8.8 HIGH | Out of bounds write in TFLite |
| CVE-2022-23587 | 8.8 HIGH | Integer overflow in Tensorflow |
| CVE-2022-23559 | 8.8 HIGH | Integer overflow in TFLite |
| CVE-2022-23560 | 8.8 HIGH | Read and Write outside of bounds in TFLite |
| CVE-2022-23574 | 8.8 HIGH | Out of bounds read and write in Tensorflow |
| CVE-2022-23566 | 8.8 HIGH | Out of bounds write in Tensorflow |
| CVE-2022-23592 | 8.1 HIGH | Out of bounds read in Tensorflow |
| CVE-2022-23558 | 7.6 HIGH | Integer overflow in TFLite array creation |
| CVE-2022-23562 | 7.6 HIGH | Integer overflow in Tensorflow |
| CVE-2022-23584 | 7.6 HIGH | Use after free in `DecodePng` in Tensorflow |
| CVE-2022-23573 | 7.6 HIGH | Uninitialized variable access in Tensorflow |
| CVE-2022-23591 | 7.5 HIGH | Stack overflow in Tensorflow |
| CVE-2022-23563 | 7.1 HIGH | Insecure temporary file in Tensorflow |
| CVE-2022-23575 | 6.5 MEDIUM | Integer overflow in Tensorflow |
| CVE-2022-23557 | 6.5 MEDIUM | Division by zero in TFLite |
| CVE-2022-23570 | 6.5 MEDIUM | Null-dereference in Tensorflow |
| CVE-2022-23564 | 6.5 MEDIUM | Reachable Assertion in Tensorflow |
| CVE-2022-23565 | 6.5 MEDIUM | `CHECK`-failures in Tensorflow |
| CVE-2022-23582 | 6.5 MEDIUM | `CHECK`-failures in `TensorByteSize` in Tensorflow |
| CVE-2022-23583 | 6.5 MEDIUM | `CHECK`-failures in binary ops in Tensorflow |
Showing top 20 of 36 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`
Same weakness: CWE-125
-
CVE-2026-18418
Out-of-bounds read when the zbus proxy agent IPC backend log -
CVE-2026-19577
Out-of-bounds read in IPv6 route forwarding when the nexthop -
CVE-2026-108573
Open Asset Import Library Assimp PLY File getNextBlock out-o -
CVE-2026-107373
ExtUtils::Typemaps::STL::String versions before 1.06 for Per -
CVE-2026-103636
Apache DataSketches: datasketches-cpp: Out-of-bounds read in
V. Comments for CVE-2022-23594
No comments yet