CVE-2023-27987 (GCVE-0-2023-27987)
Vulnerability from cvelistv5 – Published: 2023-04-10 07:37 – Updated: 2024-10-17 20:20
VLAI
EPSS
VEX
Title
Apache Linkis gateway module token authentication bypass
Summary
In Apache Linkis <=1.3.1, due to the default token generated by Linkis Gateway deployment being too simple, it is easy for attackers to obtain the default token for the attack. Generation rules should add random values.
We recommend users upgrade the version of Linkis to version 1.3.2 And modify the default token value. You can refer to Token authorization[1]
https://linkis.apache.org/docs/latest/auth/token https://linkis.apache.org/docs/latest/auth/token
Severity
9.1 (Critical)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-10-17 20:20 UTC
CWE
- CWE-326 - Inadequate Encryption Strength
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://lists.apache.org/thread/3cr1cz3210wzwngld… | vendor-advisorymailing-list |
| https://www.openwall.com/lists/oss-security/2023/… |
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Apache Software Foundation | Apache Linkis |
Affected:
0 , ≤ 1.3.1
(maven)
|
guessed | |
| apache | linkis |
Affected:
0 , ≤ 1.3.1
(custom)
cpe:2.3:a:apache:linkis:*:*:*:*:*:*:*:* |
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
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They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
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The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.