CVE-2017-17837 (GCVE-0-2017-17837)
Vulnerability from cvelistv5 – Published: 2018-01-04 15:00 – Updated: 2024-09-17 02:21
VLAI
EPSS
VEX
Summary
The Apache DeltaSpike-JSF 1.8.0 module has a XSS injection leak in the windowId handling. The default size of the windowId get's cut off after 10 characters (by default), so the impact might be limited. A fix got applied and released in Apache deltaspike-1.8.1.
Severity
6.1 (Medium)
CWE
- Information Disclosure
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://issues.apache.org/jira/browse/DELTASPIKE-1307 | x_refsource_CONFIRM |
| https://git-wip-us.apache.org/repos/asf?p=deltasp… | x_refsource_CONFIRM |
| https://lists.apache.org/thread.html/r78565f0f4ec… | mailing-listx_refsource_MLIST |
| https://lists.apache.org/thread.html/r17b326c0eb3… | mailing-listx_refsource_MLIST |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Apache Software Foundation | Apache DeltaSpike |
Affected:
1.8.0
|
Date Public
2018-01-04 00:00
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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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