VAR-200404-0097
Vulnerability from variot - Updated: 2025-04-03 22:16SQL injection vulnerability in the bblogin function in functions.php in PHP-Nuke 6.x through 7.2 allows remote attackers to bypass authentication and gain access by injecting base64-encoded SQL code into the user parameter. francisco burzi of php-nuke Exists in unspecified vulnerabilities.Information is obtained, information is tampered with, and service operation is interrupted. (DoS) It may be in a state. Reportedly PHP-Nuke is prone to multiple SQL injection vulnerabilities. These issues are due to a failure of the application to properly sanitize user supplied input. As a result of these issues an attacker could modify the logic and structure of database queries. Other attacks may also be possible, such as gaining access to sensitive information
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"data": "francisco\u00a0burzi\u00a0 of \u00a0php-nuke\u00a0 Vulnerability in",
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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.
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.
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