CVE-2025-42620 (GCVE-0-2025-42620)
Vulnerability from cvelistv5 – Published: 2025-12-08 12:15 – Updated: 2025-12-08 12:27
VLAI
EPSS
VEX
Title
CSRF vulnerability in CIRCL Vulnerability-Lookup
Summary
In affected versions, vulnerability-lookup handled user-controlled
content in comments and bundles in an unsafe way, which could lead to
stored Cross-Site Scripting (XSS).
On the backend, the related_vulnerabilities field of bundles accepted
arbitrary strings without format validation or proper sanitization. On
the frontend, comment and bundle descriptions were converted from
Markdown to HTML and then injected directly into the DOM using string
templates and innerHTML. This combination allowed an attacker who could
create or edit comments or bundles to store crafted HTML/JavaScript
payloads which would later be rendered and executed in the browser of
any user visiting the affected profile page (user.html).
This issue affects Vulnerability-Lookup: before 2.18.0.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-12-08 12:27 UTC
CWE
- CWE-79 - Improper Neutralization of Input During Web Page Generation (XSS or 'Cross-site Scripting')
Assigner
ENISA
CNA
References
1 reference
| URL | Tags |
|---|---|
| https://vulnerability.circl.lu/vuln/gcve-1-2025-0035 | vendor-advisory |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| CIRCL | Vulnerability-Lookup |
Affected:
0 , < 2.18.0
(semver)
|
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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.
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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.
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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.