web trends stats and how to defend

Web Hacking Incidents Revealed:Trends, Stats and How to Defend

Ryan BarnettSenior Security Researcher

SpiderLabs Research

Copyright Trustwave 2010 Confidential

Ryan Barnett - Background

Trustwave Senior Security Researcher

Web application firewall research/developmentVirtual patching for web applications

Member of the SpiderLabs Research TeamWeb application firewall signature lead

ModSecurity Community ManagerInterface with the community on public mail-listSteer the internal development of ModSecurity

Author Preventing Web Attacks with Apache


Ryan Barnett Community Projects

Open Web Application Security Project (OWASP) Speaker/Instructor Project Leader, ModSecurity Core Rule Set Project Contributor, OWASP Top 10 Project Contributor, AppSensor

Web Application Security Consortium (WASC) Board Member Project Leader, Web Hacking Incident Database Project Leader, Distributed Open Proxy Honeypots Project Contributor, Web Application Firewall Evaluation Criteria Project Contributor, Threat Classification

The SANS Institute Courseware Developer/Instructor Project Contributor, CWE/SANS Top 25 Worst Programming Errors


Session Outline

The Challenge of Risk Analysis for Web Applications Risk Rating Methodology How to quantify risk?

WASC Web Hacking Incident Database (WHID) What is it? Goals Recent Project Changes and Updates

2010 Semiannual Report (July December) Incidents By Attacked Entity Field Incidents By Outcome Incidents By Attack Methods Incidents By Application Weakness Comparing the OWASP Top 10 vs. the WHID Top 10

Incidents of InterestConclusion

The Challenge of Risk Analysis for Web Application Security


OWASP Risk Rating Methodology

#Step 1: Identifying a Risk

#Step 2: Factors for Estimating Likelihood

#Step 3: Factors for Estimating Impact

#Step 4: Determining Severity of the Risk

#Step 5: Deciding What to Fix

#Step 6: Customizing Your Risk Rating Model

http://www.owasp.org/index.php/OWASP_Risk_Rating_Methodology


OWASP Risk Rating Methodology

The Challenge of Risk Analysis for Web Applications:Analyzing Public Incidents


Risk Rating Problem

Instead of being concerned about what CAN happen (theoretical scenarios), perhaps we should first be dealing with what IS happening (analysis of real-world web compromises)


Publicly Quantifying Web Incidents is Challenging

Incidents are not detected ~156 day lapse between

compromise and detection* Vast majority of cases the merchant

did not identify the intrusion a 3rd party did based on fraud detection (card brands and banks)*

Logging Issues - poor logging and/or no one reviewing them for signs of compromise

https://www.trustwave.com/downloads/whitepapers/Trustwave_WP_Global_Security_Report_2010.pdf


Publicly Quantifying Web Incidents is Challenging

Victims hide breaches Defacement (visible) and information leakage

(regulated) are publicized more than other breaches

Example - Banks are not forced to disclose when individual customer funds are stolen

Web Hacking Incident Database (WHID)


WASC Web Hacking Incident Database (WHID)

http://projects.webappsec.org/Web-Hacking-Incident-Database


Tracking Public Web Compromises


WHID Goals

Raise awareness of real-world, web application security incidents

Provide data for the following Risk Rating steps: #Step 2: Factors for Estimating Likelihood

What application weaknesses are actively being targeted?

#Step 3: Factors for Estimating ImpactWhat outcome are you worried about?

#Step 5: Deciding What to FixPrioritized listing of remediation issues

#Step 6: Customizing Your Risk Rating ModelCustomized view based on your vertical-market


WHID Data

Data Samples (statistically insignificant) Focus on % rather than raw numbers

Inclusion Criteria Only publicly disclosed, web related incidents

Incidents of interest Defacements of High Profile sites are included

Ensure quality and correctness of incidents Severely limits the number of incidents that get in


WHID Data: Community Submittal Form

Community incident submission leverages crowdsourcing

Project team validation ensures quality

http://projects.webappsec.org/Web-Hacking-Incident-Database#SubmitanIncident


WHID Database Content

~222 incidents for 2010Incidents since 1999Each incident is classified

Attack type Application Weakness Outcome Country of organization

attacked Industry segment of

organization attacked Country of origin of the

attack (if known) Vulnerable Software

Additional information: A unique identifier: WHID

200x-yy Dates of occurrence and

reporting Description Internet references


Real-Time Statistics

http://projects.webappsec.org/Web-Hacking-Incident-Database

Browse real-time data Drill down in to incident details Pivot on key variables (year/vertical market)


Real-time, Searchable DB

WHID data is available year-round

Useful for application developers and researchers

Search by

Attack method

Outcome

Source geography

and many more

http://projects.webappsec.org/Web-Hacking-Incident-Database#SearchtheWHIDDatabase


Geographic Views


Monitoring WHID Updates

http://projects.webappsec.org/Web-Hacking-Incident-Database#RSSFeed

@wascwhid

WHID 2010 Biannual Status Report:July-December


What Vertical Markets are Attacked Most Often?


What are the Goals for Web Hacking?


What Attack Methods do Hackers Use?


Which Application Weaknesses are Exploited?

#Step 5: Deciding What to FixPrioritized listing of remediation issues


OWASP vs. WHID Top 10OWASP Top 10 WHID Top 10

1 Injection Insufficient Anti-Automation (Brute Force and DoS)

2 Cross-site Scripting (XSS) Improper Output Handling (XSS and Planting of Malware)

3 Broken Authentication and Session Management Improper Input Handling (SQL Injection)

4 Insecure Direct Object Reference Application Misconfiguration (Detailed error messages)

5 CSRF Insufficient Authentication (Stolen Credentials/Banking Trojans)

6 Security Misconfiguration Insufficient Process Validation (CSRF and DNS Hijacking)

7 Insecure Cryptographic Storage Insufficient Authorization (Predictable Resource Location/Forceful Browsing)8 Failure to Restrict URL Access Abuse of Functionality (CSRF/Click-Fraud)

9 Insecure Transport Layer Protection Insufficient Password Recovery (Brute Force)

10 Unvalidated Redirects and Forwards Improper Filesystem Permissions (info Leakages)

Top Trends


Denial of Service


Layer 4 DDoS Attacks

Copyright Trustwave 2010 Confidential34

http://www.cert.org/reports/dsit_workshop.pdf

Layer 4 DDoS Attacks - Botnets

Reach bandwidth or connection limits of hosts or networking equipment.

Fortunately, current anti-DDOS solutions are effective in handling Layer 4 DDOS attacks.



Legitimate TCP or UDP connections. Difficult to differentiate from legitimate users => higher obscurity.

Requires lesser number of connections => higher efficiency.

Reach resource limits of services. Can deny services regardless of hardware capabilities of host => higher lethality.

We will focus on protocol weaknesses of HTTP or HTTPS.

HTTP GET => Michal Zalewski, Adrian Ilarion Ciobanu, RSnake (Slowloris)HTTP POST => Wong Onn Chee


http://www.owasp.org/index.php/OWASP_HTTP_Post_Tool


Application Performance Monitoring Dashboard


Excessive Access Rate Detection


Cross-site Scripting (XSS) Defense


Banking Trojans

Questions?

Web Hacking Incidents Revealed:Trends, Stats and How to DefendRyan Barnett - BackgroundRyan Barnett Community ProjectsSession OutlineThe Challenge of Risk Analysis for Web Application Security OWASP Risk Rating MethodologyOWASP Risk Rating MethodologySlide Number 8Risk Rating ProblemPublicly Quantifying Web Incidents is ChallengingSlide Number 11Publicly Quantifying Web Incidents is ChallengingSlide Number 13WASC Web Hacking Incident Database (WHID)Tracking Public Web CompromisesWHID GoalsWHID DataWHID Data: Community Submittal FormWHID Database ContentReal-Time StatisticsReal-time, Searchable DBGeographic ViewsMonitoring WHID UpdatesSlide Number 24What Vertical Markets are Attacked Most Often?What are the Goals for Web Hacking?What Attack Methods do Hackers Use?Which Application Weaknesses are Exploited?Slide Number 29OWASP vs. WHID Top 10Slide Number 31Denial of ServiceLayer 4 DDoS AttacksLayer 4 DDoS Attacks - BotnetsLayer 7 DDoS AttacksLayer 7 DDoS AttacksSlide Number 37Slide Number 38Slide Number 39Application Performance Monitoring DashboardExcessive Access Rate DetectionSlide Number 42Cross-site Scripting (XSS) DefenseBanking TrojansQuestions?

web trends stats and how to defend

Documents

web hacking incidents

web attacks

web applications member

risk rating modelhttp

apachecopyright trustwave

outcome incidents

application weakness

attack methods incidents