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Learn how to use and the basics of the Open Bullet/ Silver bullet / Silver bullet pro / Open bullet 2 / ETC
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Basic - ā”
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*Multi post data config
Intermediate ā”
#Apk config making advanced
#Ios config making
#windows internal API config making
#Burp suite / http debugger request parsing
ā”ā”Advancedš„š„
CC gate config (3D , 2D , STRIPE , BRAINTREE , LOCALHOST, ADYEN , external API)
Rechapcha bypass config - (REC V2/V3 // IMAGE CAPTCHA // HCAPTCHA // ETC. Capchas)
Javascript - using javascript in a config
IronPython - using python in a config
private API configs making
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Akamai
Overview: Akamai is a leading content delivery network (CDN) and cloud service provider that also offers robust security solutions, including web application firewalls (WAF) and bot management.
Special Identifiers:
Akamai EdgeSide Includes (ESI): Akamai uses ESI to dynamically assemble content on the edge servers, which can include security-related content like CAPTCHAs or JavaScript challenges.
Example: Requests might be routed through Akamaiās edge servers, and you might see Akamai-related headers or URLs.
Akamai Headers: Headers that indicate Akamaiās involvement might include X-Akamai-Edgescape, X-Akamai-Request-ID, or X-Cache.
Challenge Pages: Akamai often uses JavaScript challenges and CAPTCHA pages for bot verification.
Example: Look for JavaScript files with Akamai-specific URLs or scripts that perform checks on the client-side.
How to Identify:
Headers: Check HTTP headers for Akamai-specific fields like X-Akamai-Edgescape, X-Akamai-Request-ID, or X-Cache.
URLs: Requests passing through Akamaiās infrastructure may have Akamai-related domain names or paths.
Cookies: Akamai might set cookies related to session or challenge states.
2. DataDome
Overview: DataDome provides real-time bot protection and fraud prevention solutions, leveraging a combination of machine learning, threat intelligence, and behavioral analysis.
Special Identifiers:
DataDome JavaScript: DataDome typically uses JavaScript to track and analyze user behavior and detect bots.
Example: Look for JavaScript files or snippets served from domains like datadome.co or datadome.com.
Cookies: DataDome sets cookies to track user sessions and interactions for bot detection.
Example: Look for cookies like datadome or other related names in the browserās storage.
Challenge Pages: DataDome may present challenges if bot activity is detected. These challenges can be similar to CAPTCHAs or custom verification pages.
How to Identify:
JavaScript: Look for JavaScript loaded from DataDome domains or scripts that perform client-side checks.
Cookies: Inspect cookies for names or values related to DataDome.
Headers: There may be HTTP headers indicating DataDomeās involvement, but this is less common.
3. PerimeterX (PX)
Overview: PerimeterX provides bot mitigation, fraud prevention, and application security services. They use a variety of techniques, including behavioral analysis, machine learning, and fingerprinting.
Special Identifiers:
PerimeterX JavaScript: PX often uses JavaScript challenges to detect and block bots.
Example: Look for JavaScript files or inline scripts from domains like perimeterx.com or associated with PX.
Cookies: PX sets cookies to manage user sessions and analyze behavior.
Example: Cookies named px, perimeterx, or similar can indicate PXās presence.
Challenge Pages: When bot activity is detected, PX might present challenges similar to CAPTCHAs or other verification methods.
How to Identify:
JavaScript: Examine the source of JavaScript loaded from PX-related domains or scripts performing client-side checks.
Cookies: Look for cookies with names associated with PerimeterX.
Headers: Inspect HTTP headers for references to PerimeterX, though this is less common
How to identify which security the site has!
1. CAPTCHAs
Special Identifiers:
CAPTCHA URL Parameters: CAPTCHA service URLs often include specific parameters such as sitekey, response, challenge, and reload.
Example: https://www.google.com/recaptcha/api2/anchor?ar=1&k=YOUR_SITE_KEY&co=aHR0cHM6Ly9leGFtcGxlLmNvbQ..&hl=en
sitekey (for Google reCAPTCHA) indicates the site key used for the CAPTCHA.
response is typically included after user interaction to submit the CAPTCHA result.
CAPTCHA Element: Look for elements like <script src="https://www.google.com/recaptcha/api.js"> or specific HTML classes and IDs related to CAPTCHA.
How to Identify:
URL: Look for parameters related to CAPTCHA services (e.g., sitekey, challenge, response).
Headers: CAPTCHA-related requests often have specific headers or cookies associated with the CAPTCHA service.
Cookies: CAPTCHA systems may set cookies related to the CAPTCHA state or challenge.
2. JavaScript Challenges
Special Identifiers:
JavaScript Files: Look for external JavaScript files that perform checks or create challenges.
Example: Scripts from URLs like /scripts/challenge.js or /js/captcha-check.js.
JavaScript Functions: Look for functions that involve complex checks or require interaction (e.g., checkUserBehavior(), validateInteraction()).
How to Identify:
URL: Check for JavaScript files loaded dynamically or involved in page checks.
Headers: Requests involving JavaScript challenges may have specific headers indicating validation checks.
Cookies: JavaScript challenges may set or check cookies related to the challenge state.
3. IP Rate Limiting and Blocking
Special Identifiers:
Rate Limit Headers: Look for HTTP headers related to rate limiting, such as X-RateLimit-Limit, X-RateLimit-Remaining, Retry-After.
Example: X-RateLimit-Limit: 1000, X-RateLimit-Remaining: 950, Retry-After: 60
Error Responses: Look for HTTP status codes like 429 Too Many Requests.
How to Identify:
Headers: Check for rate limiting-related headers or error messages indicating rate limits.
Cookies: Rate limiting might use cookies to track request rates.
4. User Agent Analysis
Special Identifiers:
User-Agent String: Look for requests with unusual or non-standard User-Agent strings.
Example: User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:93.0) Gecko/20100101 Firefox/93.0, or generic ones like User-Agent: bot.
Blocked User Agents: Look for known bot user agents in logs or response headers.
How to Identify:
Headers: Analyze the User-Agent string in HTTP headers for unusual patterns or known bot signatures.
5. Behavioral Analysis
Special Identifiers:
Behavioral Data: Look for data related to user interactions, such as mouse movements, clicks, and scroll events.
JavaScript Events: Check for event listeners related to user behavior.
Example: Functions like trackUserBehavior() or monitorMouseMovement().
How to Identify:
JavaScript: Analyze scripts for functions that track and analyze user behavior.
Cookies: Behavioral cookies may be used to track user interactions.
6. Challenge-Response Tests
Special Identifiers:
Challenge URL Parameters: Look for URLs with parameters related to challenge responses.
Example: https://example.com/verify?challenge=abc123&response=xyz789
Response Handling: Look for fields or forms that require specific responses to proceed.
How to Identify:
URL: Check for URLs with challenge-related parameters.
Forms: Analyze forms for fields related to challenge responses.
7. Honeypots
Special Identifiers:
Hidden Fields: Look for hidden form fields or links that are not visible in the rendered page but present in the HTML.
Example: <input type="text" name="honeypot" style="display:none;">
Hidden Elements: Hidden links or inputs that should not be interacted with.
How to Identify:
HTML: Examine the page source for hidden fields or links.
JavaScript: Check for scripts that detect interactions with hidden elements.
8. Session and Cookie Analysis
Special Identifiers:
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