Bug Bounty Course in Ahmedabad

A program pays attention when you can show a real effect on an app you were allowed to test, in steps another person can follow. At Computer Education And Cybernetics (CEC) you learn that on lab web apps and APIs: read the scope, confirm one flaw, and write the report. Screenshots without impact are the submissions that get closed.

Or reach us directly

+91 75740 10176 · info@cecyours.org

Four moves before you submit

  1. 1Read the scopeOnly listed assets
  2. 2Confirm on a lab appOne real effect
  3. 3State the impactWho is harmed
  4. 4Write the stepsA stranger can repeat them
You practise on
Lab web apps and APIs
You stop when
The asset is out of scope
A paid report is
Clear, true, and new
We do not promise
Bounty income

How do you prove a web flaw is worth reporting?

You filter by scope, confirm one effect on an app you may test, and describe that effect so a stranger can see it. Anything else is noise.

A high-signal vulnerability report names an asset inside the program’s published scope, states a concrete impact, and gives the shortest steps another person can repeat, with secrets removed. Scanner output and out-of-scope hosts are spam. Computer Education And Cybernetics (CEC) teaches this standard on lab web apps and APIs in Ahmedabad and does not promise payouts.

  • Scope is a filter, not a footnote

    A program publishes the hosts, apps and APIs you may test, and the ones you must leave alone. You collect candidates with recon, then delete every result the rules do not name. A true bug on a forbidden host is still the wrong submission.

  • Impact is what a stranger could do

    Triagers look for a consequence: another user’s order, a price the server should have rejected, a login that should have stopped you, an internal address the app fetched for you. A scanner line with no consequence is spam, even when the tool name is famous.

  • Reproduction is the shortest honest path

    You keep the accounts, the requests and the result. You remove tokens, passwords and anything that is not needed to see the effect. High severity comes from the data or the action you showed, not from extra steps you only imagined.

  • Disclosure stays inside the program

    You send the report to the program — on platforms such as HackerOne or Bugcrowd, or to the contact the company lists. You do not post the finding publicly while they are still fixing it, and you do not test past the invitation.

Which flaws do you learn to confirm?

Six classes. For each one you confirm a single effect on a practice app, then you write only that effect.

  • Business logic flaws

    Confirm. Walk the real journey on a practice shop and note where a rule is skipped, doubled or trusted from the browser.

    Write. Which rule broke, what a customer could gain, and the two requests that show it.

  • Insecure direct object references

    Confirm. Change an id the app uses — an order, a file, a profile — and see whether the server checks ownership.

    Write. Whose record opened, which fields were visible, and that you used only test accounts.

  • SQL injection

    Confirm. On a deliberately vulnerable lab app, see user input reach a database query and return data it should not.

    Write. What the database exposed, and that parameterised queries are the fix. You do not run this on a live site.

  • Server-side request forgery

    Confirm. On an isolated lab target, see the server request a place you chose, including an address only the server can reach.

    Write. What internal resource responded, and that the lab — not a company’s network — was the target.

  • Authentication bypass

    Confirm. Map login, reset and session checks on a practice app and find the one check that is missing or confused.

    Write. Which account you reached and which check failed. You do not claim access you did not get.

  • Subdomain takeover

    Confirm. Spot a company name that still points at a service the company no longer controls.

    Write. The dangling reference and the risk. You report it. You do not claim the name.

A check you do on paper first

Before you open a report form, answer three questions: Is this asset on the allowed list? What can another person actually do or see? Can I show that with the requests I saved? If one answer is no, you are not ready to submit.

A worked example: a coupon the server never checked

Logic flaws hide in ordinary shopping steps. This one is on a practice checkout we control. The lesson is the report, not a trick you reuse on a live shop.

  1. 1

    The lab shop

    A practice checkout shows ₹1,000 in the cart. A coupon field says “10% once per order.” You are allowed to test this app. You are not allowed to test the shop next door on the internet.

  2. 2

    What the browser is trusted to say

    You apply the coupon. The page shows ₹900. In the proxy you notice the browser sends the final total, and the server stores that number without recalculating the discount.

  3. 3

    The second apply

    You send the same request again with a lower total. The server accepts ₹810. The rule “once per order” lived only in the page, not on the server. That is a business logic flaw.

  4. 4

    Impact in one sentence

    Any customer can stack a one-time coupon by repeating the request, so the shop charges less than its own rule allows. You rate it by the money the shop would lose, not by how clever the request felt.

  5. 5

    The report you actually send

    Two requests, both totals, the test account, and the missing server check. No extra claims about emptying the database. A triager can repeat those two requests and see the same prices.

An honest limit: most new hunters earn little or nothing from programs at the start. We will not tell you a lab coupon bug turns into income. The skill that transfers is proving a rule the server forgot to enforce.

Where is paid vulnerability reporting heading?

Three changes already decide which reports get read. In class you hold an AI-drafted paragraph next to your saved requests and strike every line the requests do not support.

  • More submissions, fewer that pay

    Public programs already receive floods of low-effort reports. AI makes a weak write-up faster to produce, so triagers spend their time on the few that match real evidence.

  • Obvious bugs get found by scripts

    Recon and proxy macros catch missing headers and known patterns quickly. Those findings pay less. Logic flaws and access bugs a scanner cannot see stay worth a careful report.

  • Scope rules get stricter

    Companies list exact hosts and reject anything outside them, including duplicates of issues they already know. Reading the page before you test is part of the skill.

Where an assistant still fails you

  • It invents an impact your requests never showed
  • It proposes tests on hosts the program marked out of scope
  • It copies a severity label from a template
  • It cannot tell a duplicate from a new finding

What stays valuable

Judgement. You decide what you actually proved, what you only suspect, and whether the program allowed you to look. Scripts and assistants speed up collection. They do not make that decision.

Paid bug bounty reporting is shifting as automation and AI increase low-effort submissions, so programs weigh concrete impact, logic flaws and strict scope more heavily. The durable skill is judging what you proved and whether you were allowed to test it, which CEC trains in Ahmedabad.

How we train you to hunt inside the rules

About 80% of our training is practical. Our 25+ full-time corporate trainers read your draft the way a triager would: Is the asset allowed, is the impact real, and can someone else repeat the steps?

  1. 1

    Counseling before a hunting lab

    School learners of any grade start with counseling. After 12th anyone can apply, from any stream. If web requests are still new, we start you on the cyber security course, then move you into hunting drills.

  2. 2

    Recon you are allowed to keep

    You script subdomain and path collection against a lab range, then throw away every host that is not on the allowed list. Speed without that filter is how people test the wrong company.

  3. 3

    One flaw class until the report is clean

    You do not collect ten screenshots. You take one logic flaw or one access bug on a practice app and rewrite it until impact, steps and evidence fit on a single page.

  4. 4

    A proxy, used with judgement

    A web-testing proxy such as Burp Suite shows the request the app really sent. You intercept, change one value, and repeat. A paid Pro licence is not required to learn that, and we do not promise to supply one.

  5. 5

    AI as a drafter you correct

    You may ask an assistant to outline sentences. You then delete every line you cannot point to in your own saved requests.

  6. 6

    Money stays outside our promise

    Programs decide rewards. Many accepted reports pay little or nothing, especially at the start. We treat hunting as a skill you can show an employer, not as income we can promise.

These labs sit inside our Cyber Security & Ethical Hacking with AI course. Counseling decides whether you start with foundations or with hunting drills.

What we will not tell you

  • We do not promise bounty payouts, rankings or freelance income
  • Live testing only on assets a program lists as in scope
  • Lab work uses practice apps we control
  • A report states only what you demonstrated

Who mentors cyber security learners

  • Nayan Nathani

    Software Faculty · CEC Maninagar · 2+ years

    Data Analytics, Cyber Security

  • Nishant Yadav

    Hardware Networking · CEC Nikol · 3+ years

    Cyber Security, Server Administration

At Computer Education And Cybernetics (CEC) in Ahmedabad, bug bounty training starts with counseling, then lab practice on web apps and APIs we control. Learners script recon, discard out-of-scope results, confirm one flaw, and rewrite the report until a mentor can repeat it. CEC does not promise payouts from programs such as HackerOne or Bugcrowd.

Placement support and certificates

A clear lab report is also something you can show an employer. We help you with the job. We do not chase a bounty cheque for you.

How we stay with you

  • We stay with you until you get a job, based on your performance in training, projects, and interviews
  • Our 5-step placement preparation covers your resume, portfolio, communication and mock interviews
  • Redacted lab reports show an employer you can find a flaw, explain the impact and stop at the evidence
  • Course completion certificates are issued after you finish the practical requirements

More detail on placement support at CEC.

What does responsible disclosure ask of you?

Finding a flaw is the start. How you report it decides whether you helped the program or created a new problem.

  • Stay inside the invitation

    Test only assets, accounts and methods the program allows. If the rules say “do not test payments,” you stop at payments even when you can see a flaw.

  • Prove the minimum

    Show enough to make the impact undeniable: the accounts, the requests, the result. Do not pull extra data, change other users’ records, or keep going once the point is made.

  • Strip secrets before you attach anything

    Remove session tokens, passwords and personal data that the triager does not need. A report that leaks a real customer’s details creates a second incident.

  • Wait before you publish

    The program needs time to fix the issue. Posting a write-up, a screenshot thread or a proof while the fix is open helps the next attacker more than it helps you.

Responsible disclosure means you test only what a program invites, prove the smallest impact that makes the issue clear, remove secrets from the evidence, and wait before any public write-up. Computer Education And Cybernetics (CEC) teaches that standard in Ahmedabad on lab apps, and applies the same limit to any live program a learner later joins.

Our three centres in Ahmedabad

Counseling is available at Maninagar, Nikol and Vatva, or by call, WhatsApp or email from anywhere. Visiting is optional.

Questions about learning bug bounty hunting

If your question is about a specific program’s rules, bring that page to counseling. We will read the scope with you.

  • How does ethical bug bounty hunting actually work?

    A company publishes a program: which apps and APIs you may test, which techniques are forbidden, and how to send a report. You look only inside that list, confirm a real impact, and submit steps someone else can repeat. Platforms such as HackerOne and Bugcrowd host many of these programs. Testing a site that has not invited you is not a bounty. At Computer Education And Cybernetics (CEC) you practise the same sequence on lab apps first.

  • Will I get paid for the bugs I find?

    A course cannot promise that. The program decides whether a report is valid and what, if anything, it pays. Many hunters go a long time before a submission is accepted, and many valid reports pay little or nothing. We teach you to write a high-signal report and to stay in scope. Any reward is between you and the program.

  • What is a high-signal report, and what is spam?

    A high-signal report names an in-scope asset, states who is affected, gives steps a triager can follow, attaches evidence with secrets removed, and suggests a fix. Spam is a screenshot, a scanner line, an out-of-scope host, a duplicate, or an impact you did not demonstrate. Programs close spam quickly, even when a real bug is hiding in it.

  • What web flaws will I practise?

    Business logic flaws, insecure direct object references, SQL injection, server-side request forgery, authentication bypass and subdomain takeover. You also practise recon that throws away out-of-scope results, and a proxy habit for seeing and repeating one request. Each class is confirmed on a lab app, then written up. We do not practise on random websites.

  • What is an insecure direct object reference?

    The app trusts an identifier, such as an order number, and does not check that the logged-in user owns that record. On a practice app, changing the number can reveal another test user’s data. A good report shows that access and stops there.

  • Do I need Burp Suite Pro to take this course?

    You need the habit of intercepting a request, changing one value and reading the response. We teach that with a web-testing proxy such as Burp Suite. A paid Pro licence is not required to learn the method, and we do not promise to provide one.

  • Can I start after 12th if I have never hunted bugs?

    Yes, if you can use a browser and are willing to learn how a web request works. After 12th anyone can apply, from any stream. Counseling will start you on foundations when networking or web basics are still thin, then move you into hunting labs.

  • How does CEC help me practise this, not just read about it?

    You hunt on practice apps we control, script recon and then discard out-of-scope results, and rewrite one report until a mentor can repeat your steps. AI may draft wording; you delete every claim your own requests do not support. Counseling at Maninagar, Nikol or Vatva — or by phone — decides where you start.

  • Where is bug bounty work heading?

    AI and automation increase low-effort submissions, so programs pay more attention to concrete impact, logic flaws and strict scope. Obvious bugs found by scripts are worth less. The durable skill is judgement: what you proved, what you did not, and whether you were allowed to look.

  • Which centre can I join, and do I have to visit?

    Counseling is available at our three Ahmedabad centres — Maninagar, Nikol and Vatva — or by call, WhatsApp or email on +91 75740 10176 or info@cecyours.org. Visiting is optional.

Learn to prove one flaw, then write it clearly

Tell us what you already know about the web. We will say honestly whether you start with foundations or with hunting labs — and we will not promise you a payout.

Or reach us directly

+91 75740 10176 · info@cecyours.org