VAR-200609-0397
Vulnerability from variot - Updated: 2025-04-03 22:37Cross-site scripting (XSS) vulnerability in Cisco Guard DDoS Mitigation Appliance before 5.1(6), when anti-spoofing is enabled, allows remote attackers to inject arbitrary web script or HTML via certain character sequences in a URL that are not properly handled when the appliance sends a meta-refresh. Cisco Guard is prone to a cross-site scripting vulnerability because it fails to properly sanitize user-supplied input. An attacker can exploit this issue to have arbitrary script code execute in the browser of an unsuspecting user in the context of the visited site. This may help the attacker steal cookie-based authentication credentials and launch other attacks. When anti-spoofing is enabled, a remote attacker can pass certain URLs that are not properly processed when the device sends metadata refresh. Character sequences injected into arbitrary web script or HTML.
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The vulnerability is caused due to insufficient filtering of a meta-refresh before it is being returned to a user. If Cisco Guard is running in active basic protection, going through basic/redirect protection, this can be exploited to execute HTML and script code in a user's browser session by e.g. tricking a user into following a specially crafted URL.
The vulnerability affects the following products: - Cisco Guard Appliance version 3.X - Cisco Guard Blade version 4.X - Cisco Guard Appliance versions 5.0(3) and 5.1(5)
SOLUTION: Update to version 5.1(6) or later.
PROVIDED AND/OR DISCOVERED BY: Reported by the vendor.
ORIGINAL ADVISORY: http://www.cisco.com/warp/public/707/cisco-sa-20060920-guardxss.shtml
About: This Advisory was delivered by Secunia as a free service to help everybody keeping their systems up to date against the latest vulnerabilities.
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Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.
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.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
How durations are calculated
Following the VTEM framework (Black Hat USA 2015), time to patch starts when the vendor or a coordinator was informed, total time to patch at discovery, and disclosure to patch at public disclosure; vendor response time runs from the report to its acknowledgement. Time to exploit and time unpatched start at the earliest discovery or report, falling back to public disclosure. Unpatched time ends at the first recorded patch, or the calculation time when no patch is recorded. Exploitation to patch shows the interval between those two events; a published proof of concept is a public exploit, not exploitation.
Each result shows its source dates. A negative interval means the end event came first; when date-only inputs leave the order open, the result says so. Date-only inputs are approximate. The earliest evidence wins: KEV report dates and sightings are labelled as such. Records describing another vulnerability are listed but never calculated from, and a PoC alone does not establish exploitation. Missing patch evidence does not prove that no patch exists. Filters below change the event list only.
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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.
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.