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Trustwave and Cybereason Merge to Form Global MDR Powerhouse for Unparalleled Cybersecurity Value. Learn More
SpiderLabs just released our WASC Web Hacking Incident Database (WHID) Semiannual Report for 2010 (July - December). You can download the full report here (registration required). In this report, we analyze the WHID events from the 2nd half of the year and provide information such as top:
An analysis of 75 Web hacking incidents from the second half of 2010 conducted by Trustwave's SpiderLabs team shows the following trends and findings:
The most valuable way to use WHID data is to apply a vertical market view. This will give you a much closer view of what issues are effecting your market. To this, you can utilize the Real-time Statistics interface on the WHID Project Site and choose your vertical market from the drop-down list. Here is quick breakdown of the top vertical markets from 2010:
As part of the WHID analysis, here is a current Top 10 listing for 2010 of the application weaknesses that are actively being exploited (with example attack method mapping in parentheses). Hopefully this data can be used by organizations to re-prioritize their remediation efforts.
|
WHID Top 10 for 2010 |
1 |
Insufficient Anti-Automation (Brute Force and DoS) |
2 |
Improper Output Handling (XSS and Planting of Malware) |
3 |
Improper Input Handling (SQL Injection) |
4 |
Insufficient Authentication (Stolen Credentials/Banking Trojans) |
5 |
Application Misconfiguration (Detailed error messages) |
6 |
Insufficient Process Validation (CSRF and DNS Hijacking) |
7 |
Insufficient Authorization (Predictable Resource Location/Forceful Browsing) |
8 |
Abuse of Functionality (CSRF/Click-Fraud) |
9 |
Insufficient Password Recovery (Brute Force) |
10 |
Insecure Indexing (Search Engines) |
Another use for WHID data is to help provide event likelihood data for various industry web application security efforts such as:
Both of the reports have historically been heavily weighted towards vulnerability prevalence. Hopefully, WHID data can assist both of these efforts when creating future versions by providing data on event likelihood which in turn would help to re-prioritize the rankings of issues.
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