FKIE_CVE-2019-12583
Vulnerability from fkie_nvd - Published: 2019-06-27 14:15 - Updated: 2026-06-17 02:14
Severity
Summary
Missing Access Control in the "Free Time" component of several Zyxel UAG, USG, and ZyWall devices allows a remote attacker to generate guest accounts by directly accessing the account generator. This can lead to unauthorised network access or Denial of Service.
References
| URL | Tags | ||
|---|---|---|---|
| cve@mitre.org | https://n-thumann.de/blog/zyxel-gateways-missing-access-control-in-account-generator-xss/ | Exploit, Third Party Advisory | |
| cve@mitre.org | https://www.zyxel.com/support/vulnerabilities-related-to-the-Free-Time-feature.shtml | Patch, Vendor Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://n-thumann.de/blog/zyxel-gateways-missing-access-control-in-account-generator-xss/ | Exploit, Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://www.zyxel.com/support/vulnerabilities-related-to-the-Free-Time-feature.shtml | Patch, Vendor Advisory |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| zyxel | uag2100_firmware | * | |
| zyxel | uag2100 | - | |
| zyxel | uag4100_firmware | * | |
| zyxel | uag4100 | - | |
| zyxel | uag5100_firmware | * | |
| zyxel | uag5100 | - | |
| zyxel | usg110_firmware | * | |
| zyxel | usg110 | - | |
| zyxel | usg210_firmware | * | |
| zyxel | usg210 | - | |
| zyxel | usg310_firmware | * | |
| zyxel | usg310 | - | |
| zyxel | usg1100_firmware | * | |
| zyxel | usg1100 | - | |
| zyxel | usg1900_firmware | * | |
| zyxel | usg1900 | - | |
| zyxel | usg2200-vpn_firmware | * | |
| zyxel | usg2200-vpn | - | |
| zyxel | zywall_vpn100_firmware | * | |
| zyxel | zywall_vpn100 | - | |
| zyxel | zywall_vpn300_firmware | * | |
| zyxel | zywall_vpn300 | - | |
| zyxel | zywall_110_firmware | * | |
| zyxel | zywall_110 | - | |
| zyxel | zywall_310_firmware | * | |
| zyxel | zywall_310 | - | |
| zyxel | zywall_1100_firmware | * | |
| zyxel | zywall_1100 | - |
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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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