Deeplearning4J up to 1.0.0-M2.1 invariant value in dynamically changing context
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.2 | $0-$5k | 0.00 |
Summary
A vulnerability was found in Deeplearning4J up to 1.0.0-M2.1. It has been classified as problematic. The impacted element is an unknown function. The manipulation leads to use of invariant value in dynamically changing context. This vulnerability is uniquely identified as CVE-2022-36022. The attack is possible to be carried out remotely. No exploit exists. Upgrading the affected component is recommended.
Details
A vulnerability was found in Deeplearning4J up to 1.0.0-M2.1. It has been rated as problematic. This issue affects an unknown code block. The manipulation with an unknown input leads to a use of invariant value in dynamically changing context vulnerability. Using CWE to declare the problem leads to CWE-344. The product uses a constant value, name, or reference, but this value can (or should) vary across different environments. Impacted is integrity. The summary by CVE is:
Deeplearning4J is a suite of tools for deploying and training deep learning models using the JVM. Packages org.deeplearning4j:dl4j-examples and org.deeplearning4j:platform-tests through version 1.0.0-M2.1 may use some unclaimed S3 buckets in tests in examples. This is likely affect people who use some older NLP examples that reference an old S3 bucket. The problem has been patched. Users should upgrade to snapshots as Deeplearning4J plan to publish a release with the fix at a later date. As a workaround, download a word2vec google news vector from a new source using git lfs from here.
The weakness was disclosed 11/10/2022 as GHSA-rc39-g977-687w. It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2022-36022 since 07/15/2022. The technical details are unknown and an exploit is not publicly available.
Upgrading eliminates this vulnerability.
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Product
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.3VulDB Meta Temp Score: 5.2
VulDB Base Score: 5.3
VulDB Temp Score: 5.1
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 5.3
NVD Vector: 🔍
CNA Base Score: 5.3
CNA Vector (GitHub, Inc.): 🔍
CVSSv2
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Use of invariant value in dynamically changing contextCWE: CWE-344
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔍
Timeline
07/15/2022 🔍11/10/2022 🔍
11/10/2022 🔍
12/11/2022 🔍
Sources
Advisory: GHSA-rc39-g977-687wStatus: Confirmed
CVE: CVE-2022-36022 (🔍)
GCVE (CVE): GCVE-0-2022-36022
GCVE (VulDB): GCVE-100-213407
Entry
Created: 11/10/2022 22:36Updated: 12/11/2022 17:12
Changes: 11/10/2022 22:36 (47), 12/11/2022 17:12 (10)
Complete: 🔍
Cache ID: 216::103
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