This lab guide teaches three distinct authentication bypass techniques using DVWA: SQL injection in login forms, session ID prediction from weak token generation algorithms, and cookie manipulation for privilege escalation. The article demonstrates how each vulnerability works independently and how chaining them together creates a critical account takeover pathway. Understanding these attack classes and their mitigations is essential because authentication is the foundation of application security, and flaws here bypass all downstream protections.
- SQL injection login bypass mechanicsThe classic payload ' OR 1=1-- works by closing the username string with a single quote, adding an always-true condition, and using -- to comment out the password check. The vulnerable query SELECT * FROM users WHERE username='INPUT' AND password='INPUT' becomes SELECT * FROM users WHERE username='' OR 1=1, returning all rows. The application then logs in the first user (typically admin) without validating credentials. Medium security can partially filter this with certain character restrictions, but the correct mitigation is parameterised queries (PDO prepared statements at High security), wh
- Session ID entropy and predictability patternsDVWA demonstrates three predictable session generation algorithms across security levels: Low uses sequential integers (1, 2, 3...), Medium uses Unix timestamps, and High uses MD5 of a timestamp. All three allow session prediction because the input space is either too small or mathematically structured. An attacker observing multiple session IDs can predict other active sessions—at Low by simply incrementing values, at Medium by calculating the timestamp range when users logged in and brute-forcing that window. Burp Sequencer quantifies this unpredictability by measuring effective entropy bits
- Cookie manipulation and client-side trustDVWA stores security level information in a client-side cookie that the application reads without server-side validation, allowing direct privilege escalation by modifying cookie values. Real applications exhibit this pattern with base64-encoded role fields, JWT claims without signature validation, and serialised session data. An attacker can decode a cookie like role=user (base64-encoded), modify it to role=admin, re-encode it, and send it back; if the server trusts client-side state without cryptographic verification, the privilege escalation succeeds instantly.
- Session fixation vs session prediction distinctionSession fixation occurs when an application uses the same session token before and after authentication—an attacker who plants a known session ID can use it after the victim logs in to hijack the authenticated session. Session prediction happens when an application generates tokens from predictable algorithms, allowing an attacker to generate valid IDs without planting anything. Secure implementations regenerate the session token immediately after login success, invalidating any pre-login token. DVWA tests both behaviours across security levels to demonstrate the difference.
- Authentication bypass attack chain documentationThree independent vulnerabilities that rate Medium in isolation—SQL injection bypass (requires specific payload), session prediction (limited 900-second brute-force window), and cookie manipulation (affects one endpoint)—become a Critical finding when documented as a sequential chain: unauthenticated attacker uses SQL injection to gain admin access, then demonstrates session prediction to hijack other active sessions, then manipulates cookies to escalate privilege from low to high. The chain narrative proves full admin access from unauthenticated state and receives Critical CVSS rating because
- Parameterised queries as architectural fixInput filtering (blocking single quotes, applying character restrictions) provides incomplete protection because alternative payload variants exist, such as ' OR '1'='1 using matched quotes, double quotes, numeric injection without delimiters, or encoding bypasses. Parameterised queries (prepared statements) provide the correct mitigation by separating query structure from user data at the database driver level, making SQL injection structurally impossible regardless of input content. This is demonstrated at DVWA's High security level using PDO prepared statements, showing developers the archi
- Session management as authentication weakest linkA login form protected with CAPTCHA, rate limiting, multi-factor authentication, and perfect SQL injection resistance remains completely bypassable if session tokens are predictable, if session fixation is possible, or if tokens are accepted after logout. Session management failures bypass all login protections because they exploit the token lifecycle—generation, storage, validation, and expiry—rather than credential verification. The article emphasizes that authentication is only as strong as its weakest component, and developers frequently secure the login form without implementing secure se
- Practical penetration testing methodologyThe lab requires using Burp Suite Proxy to intercept login requests and modify parameters, Burp Repeater to test payload variations and analyze responses, and Burp Sequencer to capture and analyze session token entropy across 100+ samples. Testing occurs across all three DVWA security levels to show how filtering fails and why parameterised queries succeed. The final deliverable is a documented attack chain with exact payloads, HTTP responses (302 redirects confirming authentication), and a CVSS score justifying the Critical rating—this structure is explicitly presented as the format that rece
Bottom line: Authentication bypass vulnerabilities compound into critical account takeover when chained together—a single Medium-rated SQL injection, session prediction, or cookie manipulation finding becomes Critical when documented as a sequential attack path from unauthenticated to admin access. The correct mitigations are parameterised queries (not input filtering) for SQL injection, cryptographically secure random generation with 128+ bits entropy for session tokens, and server-side cryptographic valida
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Part of the DVWA Lab Series — 30 Labs
Lab 26 covers three distinct authentication bypass attack classes that DVWA demonstrates explicitly: SQL injection in login forms, session ID prediction from DVWA’s Weak Session IDs lab, and cookie manipulation for privilege escalation. Each one is a different failure mode. The SQL injection failure is a query construction problem. The session ID failure is an entropy problem. The cookie manipulation failure is a trust problem — the application trusts values stored client-side without server-side validation.
Work through this lab and you’ll have bypassed DVWA’s login via SQL injection, predicted session IDs from DVWA’s Weak Sessions lab, and manipulated cookie values to confirm the privilege escalation pattern. Then chain them into a single documented attack path.
Which authentication bypass technique have you practised in a lab?
DVWA Authentication Bypass Lab 26 Objectives
⏱️ Lab 26 · 3 terminal exercises · Burp Suite + DVWA
✅ Prerequisites
- DVWA SQL injection fromLab 11
— the login bypass uses the same injection concept in an authentication context
- Burp Suite session handling fromLab 24
— cookie analysis uses Burp Proxy and Sequencer
- Automated scan baseline fromLab 25
— recall which authentication bypass types scanners miss
📋 DVWA Authentication Bypass Lab 26 – Contents
SQL Injection Login Bypass — Theory and Payload
The vulnerable login query structure is predictable: SELECT * FROM users WHERE username='INPUT' AND password='INPUT'. When the application drops user input directly into this query without parameterisation, injecting SQL syntax into the username field changes the query’s logic entirely.
The classic payload is ' OR 1=1-- . What this does to the query: the first ' closes the username string. OR 1=1 adds an always-true condition. -- (note the trailing space) comments out everything after it, including the AND password check. The resulting query returns every row in the users table where the username is blank OR 1 equals 1 — which is every row. The application receives a result set, sees a valid user, and logs you in as the first user returned (typically admin).
⏱️ 20 minutes · DVWA + Burp Suite
The login bypass is a two-part exercise: confirm the attack works, then read the source code to understand exactly why it’s vulnerable. Both parts are essential — the payload shows you the attack, the source shows you the fix.
DVWA Security → Low → Submit
Step 2: Intercept the login in Burp
Enable Burp Intercept
Go to DVWA login: http://DVWA_IP/login.php
Enter any username/password → Submit → Burp catches the POST
Step 3: Modify the username parameter
In Burp Intercept, change:
username=test → username=’ OR 1=1–
(include the trailing space after –)
password=anything
Forward the request
Step 4: Confirm bypass
DVWA should now show the dashboard — login succeeded
What username is shown in the DVWA interface?
(You’re logged in as the first user in the database — admin)
Step 5: Read the vulnerable source code
DVWA login form → View Source button (bottom right)
Find the SQL query line
Identify: where is the user input dropped into the query?
Is there any input sanitisation?
Is the query parameterised?
Step 6: Test at Medium security
DVWA Security → Medium
Retry: ‘ OR 1=1–
Does it still work?
If not, try: ‘ OR ‘1’=’1
What filtering is applied at Medium vs Low?
Step 7: Test at High security
DVWA Security → High
Try all your payloads
View Source — what makes High level resistant?
(Answer: parameterised queries using PDO prepared statements)
📸 Screenshot the bypassed DVWA dashboard with Burp showing the injected username. Share in #dvwa-labs
Session ID Analysis — Entropy and Prediction
Session IDs need to be unpredictable. The requirement isn’t just that an attacker can’t guess your current session ID — it’s that even after observing many session IDs, no mathematical pattern should make future or current IDs predictable. A session ID generated from an incrementing integer is the worst case: you can enumerate the entire active session space by trying sequential values.
DVWA’s Weak Session IDs lab generates tokens using deliberately weak algorithms at each security level. Low: sequential integer. Medium: Unix timestamp. High: MD5 of a timestamp. Each one is predictable in different ways, and each demonstrates a real-world pattern that has appeared in production applications.
⏱️ 25 minutes · DVWA + Burp Suite
Session prediction requires understanding the generation algorithm before you can predict values. Work through all three DVWA security levels to map exactly what changes and what doesn’t fix the underlying problem.
DVWA Security → Low
Click: DVWA → Weak Session IDs
Open Burp Proxy → enable Intercept
Step 2: Capture session ID values at Low security
Click “Generate” button in DVWA (while intercepting in Burp)
Note the dvwaSession cookie value: ____
Disable Intercept → click Generate 4 more times (intercept each)
Record all 5 values. What is the pattern?
Step 3: Predict and test a session ID
Based on the pattern, what would the NEXT session ID be?
Modify your browser’s dvwaSession cookie to that predicted value
Reload DVWA — does the session remain valid?
What happens if you use a session ID value of “0”?
Step 4: Switch to Medium security and repeat
DVWA Security → Medium
Repeat Step 2 — capture 5 values
Decode: what is the format? (Unix timestamp, base64, MD5?)
What is the prediction attack against a Unix timestamp?
Step 5: Switch to High security and analyse
DVWA Security → High
Capture one dvwaSession value
Run: echo -n “VALUE” | md5sum (to check if it’s an MD5)
Try to reverse it: what is the MD5 of small integers?
echo -n “1” | md5sum
echo -n “2” | md5sum
Is the High security token a hash of something predictable?
Step 6: Use Burp Sequencer
At any security level: Sequencer → capture Set-Cookie with dvwaSession
Collect 100 tokens → Analyse
What is the effective entropy in bits?
At what entropy level would this session be secure?
📸 Screenshot Burp Sequencer entropy analysis result. Share in #dvwa-labs
Cookie Manipulation and Privilege Escalation
Applications that store privilege information in client-side cookies without server-side validation are giving the attacker complete control over their own access level. If a cookie contains role=user encoded in base64 and the server trusts that value to determine what you can access, changing it to role=admin and re-encoding it is a privilege escalation with no exploitation required — just an edit.
In DVWA, the security cookie demonstrates this pattern. The security level is stored client-side and read by the application. Understanding this pattern is the prerequisite for recognising it in real applications, where it appears as JWT claims without signature validation, base64-encoded JSON objects in cookies, and serialised session data in predictable formats.
⏱️ 20 minutes · DVWA + Burp Suite · exercises 1 and 2 completed
The chain exercise brings together SQL injection bypass, session prediction, and cookie manipulation into a single documented attack narrative. This is the report structure that turns three separate Medium findings into one Critical chain.
Before any bypass: what can an unauthenticated user access in DVWA?
Try to access: http://DVWA_IP/dvwa/vulnerabilities/sqli/
Note: redirected to login
Step 2: Execute Step 1 — SQL injection login bypass
Bypass login with ‘ OR 1=1–
Document: exact payload, POST request, 302 response, resulting session
Step 3: Capture your session and confirm admin access
Open Burp → find Set-Cookie header with PHPSESSID
Note the PHPSESSID value
Confirm: are you accessing DVWA as admin?
Step 4: Execute Step 2 — demonstrate session prediction
Note your current dvwaSession value
Use Burp Repeater to request DVWA with dvwaSession modified to N-1
Does the request succeed? (Demonstrates another session is accessible)
Step 5: Execute Step 3 — cookie manipulation
Use Burp Repeater to change security=low to security=impossible
Does DVWA honour the manipulated security level cookie?
Try accessing a vulnerability page — has the security level changed?
Step 6: Write the attack chain documentation
Write in 3 numbered steps:
Step 1: [payload] → [result] (SQL bypass)
Step 2: [technique] → [result] (session prediction)
Step 3: [modification] → [result] (cookie manipulation)
Conclude: from unauthenticated to admin via 3 compounding flaws.
CVSS: what score does this chain deserve and why?
📸 Screenshot your attack chain documentation. Share in #dvwa-labs
📋 Lab 26 Reference — Authentication Bypass Commands
✅ Lab 26 Complete — Authentication Bypass Mastered
SQL injection login bypass, session prediction at three security levels, and cookie manipulation — all three attack classes documented and chained. Lab 27 shifts to source code review: reading application code to find vulnerabilities before execution, the skill that separates testers who find problems from testers who find root causes.
🧠 Lab 26 Check
❓ DVWA Authentication Bypass FAQ
How do you bypass DVWA login with SQL injection?
What is the DVWA Weak Session IDs vulnerability?
How do you test for authentication bypass?
What DVWA security level is needed for SQL injection login bypass?
What is session fixation vs session prediction?
How do you find weak session IDs with Burp Suite?
Lab 25 — Automated Scan Lab
Lab 27 — Source Code Review
Session management failures are some of the most impactful authentication vulnerabilities precisely because they bypass all the protections on the login form itself. A login form with CAPTCHA, rate limiting, MFA, and perfect SQL injection resistance is still completely bypassable if session tokens are predictable, if session fixation is possible, or if the application accepts tokens after logout. The authentication mechanism is only as strong as its weakest component — and session management is the component most frequently implemented by developers who’ve secured the login form but haven’t thought through the token lifecycle from creation to expiry to regeneration. This lab trains the complete lifecycle analysis.
📚 Further Reading
- Lab 25 — Automated Scan Lab — The scanner gap analysis that confirmed automated tools miss authentication bypass entirely — the motivation for the manual testing approach in this lab.
- Lab 23 — SQLi to OS Shell — SQL injection beyond login bypass — escalating from database read access to OS command execution, the full exploitation chain from the same vulnerability class.
- Brute Force Modern Login Pages 2026 — The complementary attack class to SQL injection login bypass — when the query is parameterised and injection is blocked, systematic credential testing is the next vector.
- OWASP — Broken Authentication Reference — The full OWASP broken authentication category covering all vulnerability patterns in this lab, remediation guidance, and the authentication failure modes most commonly found in real applications.
- PortSwigger — Authentication Vulnerabilities Labs — Free lab environment for practising all authentication bypass techniques covered in this DVWA lab, with guided solutions and real application simulations beyond DVWA’s scope.

