VAR-200701-0592
Vulnerability from variot - Updated: 2025-04-10 23:18Cisco Clean Access (CCA) 3.5.x through 3.5.9 and 3.6.x through 3.6.1.1 on the Clean Access Manager (CAM) allows remote attackers to bypass authentication and download arbitrary manual database backups by guessing the snapshot filename using brute force, then making a direct request for the file. Cisco Clean Access (CCA) is prone to a security bypass vulnerability. Cisco Clean Access (CCA) is a software solution for automatically detecting, quarantining, and cleaning devices infected with malicious code from accessing the network.
Secunia is proud to announce the availability of the Secunia Software Inspector.
The Secunia Software Inspector is a free service that detects insecure versions of software that you may have installed in your system. When insecure versions are detected, the Secunia Software Inspector also provides thorough guidelines for updating the software to the latest secure version from the vendor.
Try it out online: http://secunia.com/software_inspector/
TITLE: Cisco Clean Access Predictable Snapshots Filename
SECUNIA ADVISORY ID: SA23556
VERIFY ADVISORY: http://secunia.com/advisories/23556/
CRITICAL: Moderately critical
IMPACT: Exposure of sensitive information
WHERE:
From local network
SOFTWARE: Cisco Clean Access (CCA) 3.x http://secunia.com/product/5561/
DESCRIPTION: Cisco has acknowledged a security issue in Cisco Clean Access, which can be exploited by malicious people to gain knowledge of sensitive information.
The security issue is caused due to the use of a predictable method to name manual backups of the database, which can be exploited to disclose the contents of the database.
The security issue is reported in CCA releases 3.5.x - 3.5.9 and 3.6.x - 3.6.1.1. Other versions may also be affected.
SOLUTION: Update to versions 3.5.10 or 3.6.2.
PROVIDED AND/OR DISCOVERED BY: The vendor credits Chris Hartley from Ohio State University.
ORIGINAL ADVISORY: http://www.cisco.com/en/US/products/products_security_advisory09186a00807b6621.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.
Subscribe: http://secunia.com/secunia_security_advisories/
Definitions: (Criticality, Where etc.) http://secunia.com/about_secunia_advisories/
Please Note: Secunia recommends that you verify all advisories you receive by clicking the link. Secunia NEVER sends attached files with advisories. Secunia does not advise people to install third party patches, only use those supplied by the vendor.
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"id": "VHN-23420"
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"date": "2007-01-04T00:00:00",
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"id": "86819"
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"date": "2012-06-26T00:00:00",
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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.