GHSA-WFCF-9H78-GGCJ
Vulnerability from github – Published: 2026-08-31 18:31 – Updated: 2026-09-01 18:30
VLAI
Details
Stored Cross-Site Scripting (XSS) in TaskRunHandler.post() in web/handlers/task.py in QD 20220208 through 20250803. When a task is run via /task//run, the handler renders task log content (logtmp) into the HTML response using Python % string formatting without HTML encoding. logtmp is populated from the exception object or from new_env.variables.log, which is attacker-controlled via the template extract_variables mechanism. A low-privileged authenticated attacker can create a crafted HAR template that extracts arbitrary HTML/JavaScript into the log variable via the api://util/unicode endpoint. When a victim triggers the task run, the embedded script executes in the victim browser within the QD application context.
Severity
5.4 (Medium)
{
"affected": [],
"aliases": [
"CVE-2026-51153"
],
"database_specific": {
"cwe_ids": [
"CWE-79"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-08-31T16:18:34Z",
"severity": "MODERATE"
},
"details": "Stored Cross-Site Scripting (XSS) in TaskRunHandler.post() in web/handlers/task.py in QD 20220208 through 20250803. When a task is run via /task/\u003ctaskid\u003e/run, the handler renders task log content (logtmp) into the HTML response using Python % string formatting without HTML encoding. logtmp is populated from the exception object or from new_env.variables.__log__, which is attacker-controlled via the template extract_variables mechanism. A low-privileged authenticated attacker can create a crafted HAR template that extracts arbitrary HTML/JavaScript into the __log__ variable via the api://util/unicode endpoint. When a victim triggers the task run, the embedded script executes in the victim browser within the QD application context.",
"id": "GHSA-wfcf-9h78-ggcj",
"modified": "2026-09-01T18:30:34Z",
"published": "2026-08-31T18:31:28Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-51153"
},
{
"type": "WEB",
"url": "https://gist.github.com/kurokoleung/9fc51b02c85c2f466bf4ea72c62ba343"
},
{
"type": "WEB",
"url": "https://qd-today.github.io/qd"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N",
"type": "CVSS_V3"
}
]
}
Loading…
Loading…
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.
Loading…
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.
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.
Loading…
Loading…