VYPR
Medium severity4.7NVD Advisory· Published Dec 12, 2024· Updated Apr 15, 2026

CVE-2024-36494

CVE-2024-36494

Description

Due to missing input sanitization, an attacker can perform cross-site-scripting attacks and run arbitrary Javascript in the browser of other users. The login page at /cgi/slogin.cgi suffers from XSS due to improper input filtering of the -tsetup+-uuser parameter, which can only be exploited if the target user is not already logged in. This makes it ideal for login form phishing attempts.

AI Insight

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

An XSS vulnerability in Image Access Scan2Net login page allows arbitrary JavaScript execution for phishing, fixed in firmware v7.42B.

Description

The login page of Image Access Scan2Net devices, specifically the endpoint /cgi/slogin.cgi, is vulnerable to cross-site scripting (XSS) due to improper input sanitization of the -tsetup+-uuser parameter. This flaw allows an attacker to inject arbitrary JavaScript that executes in the browser of any user who accesses the crafted login page. The root cause is missing input validation on a POST parameter that is reflected in the page content.

Exploitation

The attack requires that the target user is not already logged in, because the vulnerable login page is only served to unauthenticated visitors. This limitation makes the vulnerability particularly suited for phishing attacks. An attacker can craft a malicious link or form that directs a victim to the login page with a payload embedded in the parameter. When the victim visits the URL, the injected script runs in their browser context, potentially capturing credentials or performing other malicious actions.

Impact

Successful exploitation allows an attacker to execute arbitrary JavaScript in the victim's browser. This can be used to steal session cookies, redirect users to attacker-controlled sites, or perform actions on behalf of the victim within the application. The XSS can also be leveraged to deface the login page or harvest credentials through a convincing login form overlay [1].

Mitigation

The vulnerability is addressed in firmware version v7.42B of the Scan2Net platform. All versions prior to this fix are affected. Users should update their devices to the latest firmware to remediate the issue. No workarounds are mentioned in the advisory, so applying the patch is the recommended course of action. This CVE is part of a larger set of vulnerabilities discovered by researchers at SEC Consult [1].

AI Insight generated on May 20, 2026. Synthesized from this CVE's description and the cited reference URLs; citations are validated against the source bundle.

Affected products

1

Patches

0

No patches discovered yet.

Vulnerability mechanics

No source-code context for this CVE — mechanics is only generated when we can read the actual fix diff. Without that, the four sections (root cause, attack vector, affected code, fix) would be speculation rather than analysis.

References

3

News mentions

0

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