Listen to this Post
Introduction:
A recent success story from a bug hunter who scored their first bounty on an Indonesian university’s system reveals a powerful strategy: shifting focus from crowded, high-profile programs to smaller, less-secured targets. This approach minimizes competition and increases the likelihood of discovering unpatched vulnerabilities, offering a viable entry point for newcomers to the field.
Learning Objectives:
- Understand the methodology of applying advanced hunting techniques to smaller-scale web applications.
- Learn the essential command-line and tool configurations for effective reconnaissance and vulnerability assessment.
- Develop a repeatable process for validating and reporting common web application security flaws.
You Should Know:
1. Subdomain Enumeration for Target Reconnaissance
Verified command list:
`subfinder -dL targets.txt -o subdomains.txt`
`amass enum -passive -d example.com -o amass_results.txt`
`assetfinder –subs-only example.com | tee assetfinder.txt`
`httpx -l subdomains.txt -title -status-code -tech-detect -o live_subdomains.txt`
Step‑by‑step guide:
Subdomain enumeration is the critical first step in mapping a target’s attack surface. The process begins by using a list of target domains (targets.txt). Passive tools like `subfinder` and `amass` query various data sources without sending direct traffic to the target. The results are aggregated and then probed with `httpx` to identify live web servers, along with their technologies and HTTP status codes. This provides a foundation for all subsequent testing.
2. Content Discovery and Hidden Path Finding
Verified command list:
`gobuster dir -u https://target.com/ -w /path/to/wordlist.txt -x php,txt,html -o gobuster_scan.txt`
`ffuf -w /path/to/wordlist.txt -u https://target.com/FUZZ -mc 200,301,302,403`
`dirb https://target.com/ /usr/share/wordlists/dirb/common.txt`
Step‑by‑step guide:
Once live hosts are identified, the next phase is discovering hidden directories and files. Tools like `gobuster` and `ffuf` brute-force paths using extensive wordlists. The `-x` flag in Gobuster checks for files with specific extensions (e.g., `.php` backup files, `.txt` config files). Filtering for specific HTTP status codes (-mc in ffuf) helps focus on accessible (200) or redirected (301, 302) resources, often leading to sensitive information disclosure.
3. Vulnerability Scanning with Nuclei
Verified command list:
`nuclei -u https://target.com -t /path/to/nuclei-templates/ -o nuclei_results.txt`
`nuclei -l live_subdomains.txt -t exposures/apis/ -es info`
`nuclei -l live_subdomains.txt -t cves/ -severity critical,high -o critical_findings.txt`
Step‑by‑step guide:
Nuclei is a powerful tool for fast vulnerability scanning using community-driven templates. The first command runs a broad scan against a single URL. The second command takes the list of live subdomains (-l) and scans for specific exposure templates, excluding informational severity findings (-es info). The third command filters scans to only report critical and high-severity CVEs, which are prime candidates for bug bounty reports.
4. Analyzing JavaScript for API Endpoints and Secrets
Verified command list:
`subjs -i live_subdomains.txt | tee js_urls.txt`
`cat js_urls.txt | httpx -status-code | grep 200 | awk ‘{print $1}’ | while read url; do python3 /tools/LinkFinder/linkfinder.py -i $url -o cli; done`
`cat js_urls.txt | getJS –complete | grep -E “api|token|key”`
Step‑by‑step guide:
Modern web applications heavily rely on JavaScript, which often contains hidden API endpoints and hardcoded secrets. `Subjs` finds JavaScript files from a list of URLs. These files are then analyzed with `LinkFinder` to extract all endpoints. The `getJS` tool fetches and concatenates JavaScript content, which is then grepped for sensitive keywords like “api,” “token,” or “key,” a common source of high-impact bugs.
- Automated Testing for Common Web Vulns with SQLmap & XSStrike
Verified command list:
`sqlmap -u “https://target.com/page?id=1” –batch –level=3 –risk=3`
`sqlmap -r request.txt –dbs –batch`
`xsstrike -u “https://target.com/search?q=query” –crawl`
`python3 xsstrike.py -u “https://target.com” –params`
Step‑by‑step guide:
For potential injection points, automated tools are essential. `Sqlmap` automates the process of detecting and exploiting SQL injection flaws. It can be used against a single URL (-u) or a Burp-style saved request file (-r). `XSStrike` is a advanced tool for detecting and bypassing XSS filters. The `–crawl` flag allows it to discover more parameters on its own, while `–params` tests all parameters of a given URL.
6. Session and Authentication Bypass Testing
Verified command list:
`feroxbuster -u https://target.com/admin –headers “Cookie: session=invalid_value” –status-codes 200,302`
`curl -H “X-Original-URL: /admin” https://target.com/normal_page`
`curl -H “X-Forwarded-Host: attacker.com” https://target.com/`
Step‑by‑step guide:
Testing for authentication flaws often involves manipulating headers and session cookies. The first command uses `feroxbuster` to brute-force a directory while sending a manipulated session cookie, checking if access is improperly granted. The `curl` commands test for specific HTTP header vulnerabilities, like `X-Original-URL` (bypassing path-based access controls) or `X-Forwarded-Host` (potentially leading to cache poisoning or SSRF).
7. Cloud Misconfiguration & Bucket Enumeration
Verified command list:
`s3scanner scan –buckets-file my_buckets.txt`
`cloud_enum -k target_keyword -l cloud_enum_results.txt`
`aws s3 ls s3://bucket-name/ –no-sign-request –region us-east-1`
Step‑by‑step guide:
Many organizations, including universities, misconfigure cloud storage. `s3scanner` checks a list of bucket names for public read/write permissions. `cloud_enum` is a multi-cloud OSINT tool to enumerate public resources on AWS, Azure, and GCP using keywords. The final `aws cli` command attempts to list the contents of a potentially misconfigured S3 bucket without authentication (--no-sign-request), a common critical finding.
What Undercode Say:
- The shift from saturated platforms to smaller, less-monitored targets is not just a tip; it’s a fundamental market inefficiency that new hunters can exploit.
- Success hinges on consistent process execution—recon, content discovery, automated scanning, and manual verification—not on a single magical tool.
The hunter’s success underscores a critical evolution in the bug bounty ecosystem. The barrier to entry on major platforms is now incredibly high due to fierce competition and advanced automation. This forces newcomers to seek greener pastures. The strategy of applying a rigorous, professional testing methodology against targets with lower security maturity but that still hold valuable data (like universities) is a proven path to initial success. It demonstrates that the value is not in the target’s size but in the depth of the assessment and the hunter’s persistence.
Prediction:
This “long-tail” approach to bug hunting will see exponential growth over the next 18-24 months. As awareness spreads, the competition on smaller, private programs will intensify, mirroring the early days of HackerOne. Organizations previously considered “too small” will be forced to establish formal vulnerability disclosure programs as their digital attack surfaces expand and they become more attractive targets. This will ultimately lead to a more robust overall security posture across a wider range of industries and institution types.
🎯Let’s Practice For Free:
IT/Security Reporter URL:
Reported By: Ahada Ibad – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
