🔥Sensitive informations leaks vai fofa Dorking 💥
Hey Hunter's, DarkShadow back again dropping a simple and effective dork.
Fofa query:
If you guy's really enjoy to read my methodology's don't forget to follow me 👉🏼 DarkShadow
#dork #bugbountytips
Hey Hunter's, DarkShadow back again dropping a simple and effective dork.
Leaking firebase configurations👀Fofa query:
body="firebaseapp" && domain="example.com"
Or
(body="firebaseapp" || body="firebaseconfig") && host=".target_domain_name_only"
If you guy's really enjoy to read my methodology's don't forget to follow me 👉🏼 DarkShadow
#dork #bugbountytips
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Hey Hunter's,
DarkShadow here back again, just dropping a simple dork that find every VDP in worl wide 😎
#bugbountytips #infosec #dork
DarkShadow here back again, just dropping a simple dork that find every VDP in worl wide 😎
(body="/responsible-disclosure" || body="/.well-known/security.txt") && port="443"
#bugbountytips #infosec #dork
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Hey Hunter's,
DarkShadow here back again, just dropping a simple FOFA dork that i made to find all Grafana vulnerable versions which are using AWS and that help to you read all cloud metadata through Grafana SSRF CVE-2025-4123
FOFA dork:
Grep the full dork in comment 🔥
#dork #fofa #bugbountytips
DarkShadow here back again, just dropping a simple FOFA dork that i made to find all Grafana vulnerable versions which are using AWS and that help to you read all cloud metadata through Grafana SSRF CVE-2025-4123
FOFA dork:
app="grafana" && cloud_name="aws" && (body="Grafana v10.0.0"body="Grafana v10.0.1" body="Grafana v10.0.2"body="Grafana v10.0.3" body="Grafana v10.0.4"body="Grafana v10.0.5" body="Grafana v10.0.6"body="Grafana v10.0.7" body="Grafana v10.0.8"body="Grafana v10.0.9" body="Grafana v10.0.10"body="Grafana v10.0.11" body="Grafana v10.0.12"body="Grafana v10.1.0" body="Grafana v10.1.1"body="Grafana v10.1.2" body="Grafana v10.1.3"body="Grafana v10.1.4" body="Grafana v10.1.5"body="Grafana v10.1.6" body="Grafana v10.1.7"body="Grafana v10.1.8" body="Grafana v10.1.9"body="Grafana v10.1.10" body="Grafana v10.2.0"body="Grafana v10.2.1" body="Grafana v10.2.2"body="Grafana v10.2.3" body="Grafana v10.2.4"body="Grafana v10.2.5" body="Grafana v10.2.6"body="Grafana v10.2.7" body="Grafana v10.3.0"body="Grafana v10.3.1" body="Grafana v10.3.2"body="Grafana v10.3.3" body="Grafana v10.3.4"body="Grafana v10.3.5" body="Grafana v10.4.0"body="Grafana v10.4.1" body="Grafana v10.4.2"body="Grafana v10.4.3" body="Grafana v10.4.4"body="Grafana v10.4.5" body="Grafana v10.4.6"body="Grafana v10.4.7" body="Grafana v10.4.8"body="Grafana v10.4.9" body="Grafana v10.4.10"body="Grafana v10.4.11" body="Grafana v10.4.12"body="Grafana v10.4.13" body="Grafana v10.4.14"body="Grafana v10.4.15" body="Grafana v10.4.16"body="Grafana v10.4.17" body="Grafana v11.0.0"body="Grafana v11.0.1" body="Grafana v11.0.2"body="Grafana v11.0.3" body="Grafana v11.0.4"body="Grafana v11.0.5" body="Grafana v11.1.0"body="Grafana v11.1.1" body="Grafana v11.1.2"body="Grafana v11.1.3" body="Grafana v11.1.4"body="Grafana v11.2.0" body="Grafana v11.2.1"body="Grafana v11.2.2" body="Grafana v11.2.3"body="Grafana v11.3.0" body="Grafana v11.3.1"body="Grafana v11.3.2" body="Grafana v11.3.3"body="Grafana v11.4.0" body="Grafana v11.4.1"body="Grafana v11.4.2" body="Grafana v11.4.3"body="Grafana v11.5.0" body="Grafana v11.5.1"body="Grafana v11.5.2" body="Grafana v11.5.3"body="Grafana v11.5.4" body="Grafana v11.5.5"body="Grafana v11.5.6" body="Grafana v11.6.0" || body="Grafana v12.0.0")
Grep the full dork in comment 🔥
#dork #fofa #bugbountytips
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Hey Hunters,
Sorry for the delay—DarkShadow here, back again dropping one of my secret methodologies 😁
🌀 AWS S3 Bucket Takeover Like a Pro — Super Simple but Highly Effective 🔥
✨Before diving in, let’s understand the whole scenario...
👀 1. Which buckets are vulnerable to takeover?
👀 2. What’s the real impact of taking over an S3 bucket?
👀 3. How do we find S3 buckets that are potentially vulnerable?
👀 4. How can we validate whether a bucket was actually used by the target?
⚡ 1. Vulnerable Buckets:
If a target previously used an S3 bucket and deleted it—but the subdomain (CNAME) is still pointing to amazonaws.com—that’s a perfect takeover opportunity.
⚡ 2. Impact:
If the bucket is still referenced anywhere in the backend or services, and the target forgot to remove it, you might even achieve RCE. In some cases, it can lead to full system compromise.
⚡ 3. Finding Buckets (Using FOFA):
Here’s how I hunt them down using FOFA:
🧠 FOFA Dork:
🔍 This dork gives you subdomains that point to missing or deleted buckets. FOFA indexes fingerprints across the web—even for deleted resources—so it’s a goldmine for finding exposed assets the target forgot.
⚡ 4. Validating Ownership:
🔎 Method 1: GitHub Recon
Use GitHub dorks like:
Or simply search:
You might discover hardcoded links, past commits, or configuration files that prove the target was using this bucket.
🌐 Method 2: DNS History (Not Always Effective, But Worth a Shot)
Check if the bucket was ever configured for static website hosting.
Use these tools to check historical DNS records:
If any DNS leaks or CNAME records are found, analyze them to build your proof of ownership.
🎯 So guys, I hope you enjoyed reading this little piece of my methodology.
💥 Don’t forget to follow me 👉🏼 DarkShadow
#dork #takeover #bugbountytips
Sorry for the delay—DarkShadow here, back again dropping one of my secret methodologies 😁
🌀 AWS S3 Bucket Takeover Like a Pro — Super Simple but Highly Effective 🔥
✨Before diving in, let’s understand the whole scenario...
👀 1. Which buckets are vulnerable to takeover?
👀 2. What’s the real impact of taking over an S3 bucket?
👀 3. How do we find S3 buckets that are potentially vulnerable?
👀 4. How can we validate whether a bucket was actually used by the target?
⚡ 1. Vulnerable Buckets:
If a target previously used an S3 bucket and deleted it—but the subdomain (CNAME) is still pointing to amazonaws.com—that’s a perfect takeover opportunity.
⚡ 2. Impact:
If the bucket is still referenced anywhere in the backend or services, and the target forgot to remove it, you might even achieve RCE. In some cases, it can lead to full system compromise.
⚡ 3. Finding Buckets (Using FOFA):
Here’s how I hunt them down using FOFA:
🧠 FOFA Dork:
body="specified bucket does not exist" && (host="target.com" || host="target_domain_name_only") && port="443"
🔍 This dork gives you subdomains that point to missing or deleted buckets. FOFA indexes fingerprints across the web—even for deleted resources—so it’s a goldmine for finding exposed assets the target forgot.
⚡ 4. Validating Ownership:
🔎 Method 1: GitHub Recon
Use GitHub dorks like:
org:target_org "target.s3.amazonaws.com"
Or simply search:
"target.s3.amazonaws.com"
You might discover hardcoded links, past commits, or configuration files that prove the target was using this bucket.
🌐 Method 2: DNS History (Not Always Effective, But Worth a Shot)
Check if the bucket was ever configured for static website hosting.
Use these tools to check historical DNS records:
https://securitytrails.com
https://dnsdumpster.com
https://viewdns.info
https://www.robtex.com
If any DNS leaks or CNAME records are found, analyze them to build your proof of ownership.
🎯 So guys, I hope you enjoyed reading this little piece of my methodology.
💥 Don’t forget to follow me 👉🏼 DarkShadow
#dork #takeover #bugbountytips
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Hey Hunter's,
DarkShadow here back again, just dropping a dork🤫
✨google dork searching public exploits from github😎
#dork #bugbountytips
DarkShadow here back again, just dropping a dork🤫
✨google dork searching public exploits from github😎
"CVE-YYYY-NNNN" exploit site:github.com
"CVE-YYYY-NNNN" exploit POC site:github.com
"CVE-YYYY-NNNN" proof of concept site:github.com
#dork #bugbountytips
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⚡Google Dorks - Cloud Storage: site:s3.amazonaws.com "target[.]com" site:blob.core.windows.net "target[.]com" site:googleapis.com "target[.]com" site:drive.google.com "target[.]com"
👉Find buckets and sensitive data.
Combine:
site:s3.amazonaws.com | site:blob.core.windows.net | site:googleapis.com | site:drive.google.com "target[.]com"
Add something to narrow the results: "confidential” “privileged" “not for public release”
✅Credit- Mike Takahashi
#recon #bugbountytips #infosec #seo #dork
👉Find buckets and sensitive data.
Combine:
site:s3.amazonaws.com | site:blob.core.windows.net | site:googleapis.com | site:drive.google.com "target[.]com"
Add something to narrow the results: "confidential” “privileged" “not for public release”
✅Credit- Mike Takahashi
#recon #bugbountytips #infosec #seo #dork
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Hey Hunter's,
DarkShadow here back again, just dropping a awesome dork that makes pure bounty!
Unauthenticated Access to Sensitive Customer Data via Google Dorking
✅Step to reproduce:
- dork:
site:*.target.com* "date of birth" ext:pdf
- Check if PDF file exposing customer data.
- Noticed the ID in the URL.
- if By changing the ID, you able to access other data.
Now guys let me know, you are want to know all dorks that make pure bounty?
If you guy's want then show your love, probably i made a tool for automation or post the method.
Follow for More x.com/darkshadow2bd
#bugbountytips #dork #idor
DarkShadow here back again, just dropping a awesome dork that makes pure bounty!
Unauthenticated Access to Sensitive Customer Data via Google Dorking
✅Step to reproduce:
- dork:
site:*.target.com* "date of birth" ext:pdf
- Check if PDF file exposing customer data.
- Noticed the ID in the URL.
- if By changing the ID, you able to access other data.
Result: IDOR+Sensitive info leak (such as customer data)
Now guys let me know, you are want to know all dorks that make pure bounty?
If you guy's want then show your love, probably i made a tool for automation or post the method.
Follow for More x.com/darkshadow2bd
#bugbountytips #dork #idor
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