CVE-2023-41889 (GCVE-0-2023-41889)
Vulnerability from cvelistv5 – Published: 2023-09-15 20:09 – Updated: 2024-09-25 18:54
VLAI
EPSS
VEX
Title
Late-Unicode normalization vulnerability in SHIRASAGI
Summary
SHIRASAGI is a Content Management System. Prior to version 1.18.0, SHIRASAGI is vulnerable to a Post-Unicode normalization issue. This happens when a logical validation or a security check is performed before a Unicode normalization. The Unicode character equivalent of a character would resurface after the normalization. The fix is initially performing the Unicode normalization and then strip for all whitespaces and then checking for a blank string. This issue has been fixed in version 1.18.0.
Severity
5.3 (Medium)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-09-25 18:54 UTC
CWE
- CWE-176 - Improper Handling of Unicode Encoding
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/shirasagi/shirasagi/security/a… | x_refsource_CONFIRM |
| https://github.com/shirasagi/shirasagi/blob/f249c… | x_refsource_MISC |
| https://sim4n6.beehiiv.com/p/unicode-characters-b… | x_refsource_MISC |
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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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
model, served locally by ML-Gateway.
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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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.
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