CVE-2019-14549 (GCVE-0-2019-14549)
Vulnerability from cvelistv5 – Published: 2019-08-05 18:48 – Updated: 2024-08-05 00:19
VLAI
EPSS
VEX
Summary
An issue was discovered in EspoCRM before 5.6.9. Stored XSS was executed inside the title and breadcrumb of a newly formed entity available to all the users. A malicious user can inject JavaScript in these values of an entity, thus stealing user cookies when someone visits the publicly accessible link.
Severity
5.4 (Medium)
CWE
- n/a
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/espocrm/espocrm/commit/ffd3f76… | x_refsource_MISC |
| https://github.com/espocrm/espocrm/releases/tag/5.6.9 | x_refsource_MISC |
| https://github.com/espocrm/espocrm/issues/1369 | x_refsource_MISC |
| https://gauravnarwani.com/publications/cve-2019-14549/ | x_refsource_MISC |
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"id": "CVE-2019-14549",
"lastModified": "2024-11-21T04:26:56.810",
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"published": "2019-08-05T19:15:11.507",
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}
}
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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.
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