GSD-2022-23466
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
teler is an real-time intrusion detection and threat alert dashboard. teler prior to version 2.0.0-rc.4 is vulnerable to DOM-based cross-site scripting (XSS) in the teler dashboard. When teler requests messages from the event stream on the `/events` endpoint, the log data displayed on the dashboard are not sanitized. This only affects authenticated users and can only be exploited based on detected threats if the log contains a DOM scripting payload. This vulnerability has been fixed on version `v2.0.0-rc.4`. Users are advised to upgrade. There are no known workarounds for this vulnerability.
Aliases
Aliases
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"description": "teler is an real-time intrusion detection and threat alert dashboard. teler prior to version 2.0.0-rc.4 is vulnerable to DOM-based cross-site scripting (XSS) in the teler dashboard. When teler requests messages from the event stream on the `/events` endpoint, the log data displayed on the dashboard are not sanitized. This only affects authenticated users and can only be exploited based on detected threats if the log contains a DOM scripting payload. This vulnerability has been fixed on version `v2.0.0-rc.4`. Users are advised to upgrade. There are no known workarounds for this vulnerability.",
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"package_slug": "go/teler.app",
"pubdate": "2022-12-06",
"solution": "Upgrade to versions 2.0.0-dev.2, 2.0.0-rc.4 or above. *Note*: 2.0.0-rc.4 may be an unstable version. Use caution.",
"title": "Improper Neutralization of Input During Web Page Generation (\u0027Cross-site Scripting\u0027)",
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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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