CVE-2018-12533 (GCVE-0-2018-12533)
Vulnerability from cvelistv5 – Published: 2018-06-18 12:00 – Updated: 2024-08-05 08:38
VLAI
EPSS
VEX
Summary
JBoss RichFaces 3.1.0 through 3.3.4 allows unauthenticated remote attackers to inject expression language (EL) expressions and execute arbitrary Java code via a /DATA/ substring in a path with an org.richfaces.renderkit.html.Paint2DResource$ImageData object, aka RF-14310.
Severity
9.8 (Critical)
CWE
- n/a
Assigner
References
7 references
| URL | Tags |
|---|---|
| https://access.redhat.com/errata/RHSA-2018:2664 | vendor-advisoryx_refsource_REDHAT |
| http://www.securitytracker.com/id/1041617 | vdb-entryx_refsource_SECTRACK |
| https://codewhitesec.blogspot.com/2018/05/poor-ri… | x_refsource_MISC |
| https://access.redhat.com/errata/RHSA-2018:2663 | vendor-advisoryx_refsource_REDHAT |
| http://www.securityfocus.com/bid/104502 | vdb-entryx_refsource_BID |
| https://access.redhat.com/errata/RHSA-2018:2930 | vendor-advisoryx_refsource_REDHAT |
| http://seclists.org/fulldisclosure/2020/Mar/21 | mailing-listx_refsource_FULLDISC |
Date Public
2018-06-18 00:00
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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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