VYPR
Unrated severityNVD Advisory· Published Dec 22, 2021· Updated Aug 3, 2024

CVE-2021-21916

CVE-2021-21916

Description

An exploitable SQL injection vulnerability exist in the ‘group_list’ page of the Advantech R-SeeNet 2.4.15 (30.07.2021). A specially-crafted HTTP request at 'description_filter’ parameter. An attacker can make authenticated HTTP requests to trigger this vulnerability. This can be done as any authenticated user or through cross-site request forgery.

AI Insight

LLM-synthesized narrative grounded in this CVE's description and references.

Authenticated SQL injection in Advantech R-SeeNet 2.4.15 via the `description_filter` parameter on the group_list page allows data exfiltration.

Vulnerability

An exploitable SQL injection vulnerability exists in the group_list page of Advantech R-SeeNet version 2.4.15 (30.07.2021). The flaw is triggered via a specially-crafted HTTP request to the description_filter parameter. The root cause is improper use of prepared statements combined with SQL concatenation in stored procedures, where sanitized variables lose protection when invoked against the database [1].

Exploitation

An attacker can exploit this vulnerability by sending an authenticated HTTP request with malicious SQL in the description_filter parameter. The attacker may be any authenticated user, or the attack can be performed via cross-site request forgery (CSRF) if an authenticated user is tricked into visiting a malicious page [1]. No special privileges beyond basic authentication are required.

Impact

Successful exploitation allows an attacker to inject arbitrary SQL commands, leading to unauthorized reading of the underlying database. This can result in disclosure of sensitive information, such as router monitoring data and potentially credentials. The CVSSv3 score is 7.7 (AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:N/A:N), indicating high confidentiality impact with no integrity or availability impact [1].

Mitigation

As of the publication date (2021-12-22), no patched version has been released by Advantech. Users should apply network segmentation and access controls to limit exposure, and avoid clicking untrusted links while authenticated to the R-SeeNet interface. Monitor for updates from Advantech regarding a fix [1].

AI Insight generated on May 27, 2026. Synthesized from this CVE's description and the cited reference URLs; citations are validated against the source bundle.

Affected products

2

Patches

0

No patches discovered yet.

Vulnerability mechanics

AI mechanics synthesis has not run for this CVE yet.

References

1

News mentions

0

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