VAR-202007-0395
Vulnerability from variot - Updated: 2024-07-23 22:33Advantech iView, versions 5.6 and prior, contains multiple SQL injection vulnerabilities that are vulnerable to the use of an attacker-controlled string in the construction of SQL queries. An attacker could extract user credentials, read or modify information, and remotely execute code. Advantech iView Has SQL An injection vulnerability exists.Information is obtained, information is tampered with, and service is disrupted (DoS) It may be put in a state. This vulnerability allows remote attackers to disclose sensitive information on affected installations of Advantech iView. Authentication is not required to exploit this vulnerability.The specific flaw exists within the NetworkServlet servlet. The issue results from the lack of proper validation of a user-supplied string before using it to construct SQL queries. An attacker can leverage this vulnerability to disclose stored credentials, leading to further compromise
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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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