CVE-2022-41947 (GCVE-0-2022-41947)
Vulnerability from cvelistv5 – Published: 2022-12-08 22:14 – Updated: 2025-04-23 16:30
VLAI
EPSS
VEX
Title
Cross-site Scripting with user-uploaded files in dhis2-core
Summary
DHIS 2 is an open source information system for data capture, management, validation, analytics and visualization. Through various features of DHIS2, an authenticated user may be able to upload a file which includes embedded javascript. The user could then potentially trick another authenticated user to open the malicious file in a browser which would trigger the javascript code, resulting in a cross-site scripting (XSS) attack. DHIS2 administrators should upgrade to the following hotfix releases: 2.36.12.1, 2.37.8.1, 2.38.2.1, 2.39.0.1. Users unable to upgrade may add the following simple CSP rule in your web proxy to the vulnerable endpoints: `script-src 'none'`. This workaround will prevent all javascript from running on those endpoints.
Severity
5.4 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-04-23 13:52 UTC
CWE
- CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/dhis2/dhis2-core/security/advi… | x_refsource_CONFIRM |
| https://developer.mozilla.org/en-US/docs/Web/HTTP/CSP | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| dhis2 | dhis2-core |
Affected:
< 2.36.12.1
Affected: >= 2.37.0.0, < 2.37.8.1 Affected: >= 2.38.0.0, < 2.38.2.1 Affected: >= 2.39.0.0, < 2.39.0.1 |
guessed |
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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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