VAR-200707-0187
Vulnerability from variot - Updated: 2025-04-10 23:01Cisco 4100 and 4400, Airespace 4000, and Catalyst 6500 and 3750 Wireless LAN Controller (WLC) software before 3.2 20070727, 4.0 before 20070727, and 4.1 before 4.1.180.0 allows remote attackers to cause a denial of service (traffic amplification or ARP storm) via a crafted unicast ARP request that (1) has a destination MAC address unknown to the Layer-2 infrastructure, aka CSCsj69233; or (2) occurs during Layer-3 roaming across IP subnets, aka CSCsj70841. Cisco Wireless LAN Controller (WLC) is prone to multiple denial-of-service vulnerabilities. An attacker can exploit these issues to crash the device, denying service to legitimate users. These issues affect Cisco Wireless LAN Control 3.2, 4.0, and 4.1; other versions may also be affected. Cisco Wireless LAN Controllers (WLCs) provide real-time communication between lightweight access points and other wireless-providing LAN controllers to perform centralized system-wide WLAN configuration and management functions. Vulnerable WLCs may mishandle unicast ARP requests from wireless clients, causing ARP storms. Both WLCs attached to the same set of Layer 2 VLANs must have wireless client contexts for this vulnerability to be exposed. This happens after using layer 3 (inter-subnet) roaming or when using guest WLAN (auto-anchor). This allows a second WLC to reprocess the ARP request and incorrectly re-forward the inclusion back to the network. This vulnerability is documented as CSCsj69233. In the case of Layer 3 (L3) roaming, wireless clients move from one controller to another, and the wireless LAN interfaces configured on different controllers are in different IP subnets. In this case, the unicast ARP may not be tunneled back to the anchor controller, but sent by the external controller to its native VLAN. This vulnerability is documented as CSCsj70841
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"sources": {
"@container": "@list",
"@context": {
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"data": "Design Error",
"sources": [
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"db": "BID",
"id": "25043"
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"id": "CNNVD-200707-466"
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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.
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.
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 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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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.
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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.