CVE-2022-1439 (GCVE-0-2022-1439)
Vulnerability from cvelistv5 – Published: 2022-04-22 16:30 – Updated: 2024-08-03 00:03Title
Reflected XSS on demo.microweber.org/demo/module/ in microweber/microweber
Summary
Reflected XSS on demo.microweber.org/demo/module/ in GitHub repository microweber/microweber prior to 1.2.15. Execute Arbitrary JavaScript as the attacked user. It's the only payload I found working, you might need to press "tab" but there is probably a paylaod that runs without user interaction.
Severity
6.3 (Medium)
CWE
- CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
References
2 references
| URL | Tags |
|---|---|
| https://huntr.dev/bounties/86f6a762-0f3d-443d-a67… | x_refsource_CONFIRM |
| https://github.com/microweber/microweber/commit/a… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| microweber | microweber/microweber |
Affected:
unspecified , < 1.2.15
(custom)
|
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 9c26e2ec-c15c-4643-b9dc-c27cdaa51eff
Exploited: Yes
Timestamps
First Seen: 2022-04-22
Asserted: 2022-04-22
Scope
Notes: Reflected XSS on demo.microweber.org/demo/module/ in microweber/microweber | Affected: Microweber / microweber/microweber | CVSS: 6.3 (MEDIUM) | EPSS: 0.03258 | Used in malware: unknown | Not yet in CISA KEV: True
Evidence
Type: Public Report
Signal: Successful Exploitation
Confidence: 70%
Source: previdian
Details
| Feed | Previdian (previdian.com) |
|---|---|
| Title | Reflected XSS on demo.microweber.org/demo/module/ in microweber/microweber |
| Cve Id | CVE-2022-1439 |
| Vendor | Microweber |
| Ghsa Id | GHSA-9W7H-3WWH-6M5Q |
| Product | microweber/microweber |
| Added Date | 2022-04-22T16:30:14.000Z |
| Cvss Score | 6.3 |
| Epss Score | 0.03258 |
| Previous Ids | |
| Cvss Severity | MEDIUM |
| Virtual Patch | False |
| Cvss Estimated | False |
| Epss Percentile | 0.87955 |
| Used In Malware | unknown |
| Vulnerability Id | CVE-2022-1439 |
| Ahead Of Cisa Kev | None |
| Not Yet In Cisa Kev | True |
References
Created: 2026-10-02 09:11 CEST
| Updated: 2026-10-02 09:11 CEST
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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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