Zero-Auth BOLA: Entire Merchant Database Exposed

Good - PDF report found. Now I'll extract and analyze the SQLi content from the report.

Excellent - full picture extracted. Now I'll read the JS Bundle endpoint learning and then store the SQLi pattern.

Now I have the full picture. Let me store the SQLi learning pattern and read the endpoint file for similar candidate analysis.

SQLi pattern stored. Now let me analyze the API endpoint list to identify similar candidates.

All data collected. Now rendering the complete analysis.

Summary

Analysis complete. Here's what was accomplished:

SQLi Pattern - What Was Learned

Learning stored → ID '[REDACTED_ID]' (ty...

I'll start by loading the SQLi pattern learning and checking existing data before planning the attack.

Now let me read the full SQLi pattern learning and the JS bundle endpoints learning to get all virtualPOS endpoints:

I have everything needed. Now I'll check the virtualPOS endpoint file and plan the attack:

All artifacts present. I have everything. Creating the task plan now:

Acknowledged - task_0 (auth + virtualPOS endpoint enumeration) is running in the background. I'll resume automatically when it completes and immediately dispatch the SQLi injection agent (task_1).

Current Status:

Waiting for task_0 to complete...

I'll execute this mission step by step. Let me start by understanding the workspace context.

Good! I have the workspace context. Now let me check what files exist in the workspace.

Excellent! I found the login_script.py. Let me download and run it to get the JWT token.

Now let me run the login script to authenticate and get the JWT token.

Excellent! The login succeeded. Now let me extract the JWT token and save it.

Great! JWT token saved. Now let me download the api_endpoints.json file and filter for virtualPOS endpoints.

Now let me parse and filter the api_endpoints.json for virtualPOS endpoints.

Perfect! Found 81 virtualPOS endpoints. Now let me upload both files to the workspace.

Perfect! Both files uploaded successfully. Let me verify the JWT and print the final summary.

✅ MISSION COMPLETE

I have successfully completed both steps of the mission:

STEP 1: AUTHENTICATION ✓

• Executed login script (3-step auth flow)
• Obtained JWT token (987 bytes)
• Successfully logged in as: ████████ (ResellerUser)
• JWT expires: 2026-03-25 15:42:43 UTC
• Saved to: 'workspace/sqli/auth_token.txt'

STEP 2: VIRTUALPOS ENDPOINT EXTRACTION ✓

• Downloaded 'recon/api_endpoints.json' (857 total endpoints)
• Filtered for '/virtualPOS/api' pattern
• Found: 81 virtualPOS endpoints across 12 controllers
• Saved to: 'workspace/sqli/virtualpos_endpoints.json'

ENDPOINT BREAKDOWN

Task_0 done - 81 virtualPOS endpoints enumerated, JWT obtained. Launching the SQLi injection agent now.

Acknowledged - task_1 (SQLi injection probe) is running. Waiting for results.

Agent is progressing normally - currently validating JWT against the known-good dashboard endpoint, then moving into schema discovery on all 11 POST/6 PUT endpoints. No intervention needed.

Waiting for task_1 to complete...

Agent is stuck in an auth format loop. Sending corrective guidance now.

Acknowledged - agent has received the corrective guidance with exact auth values. Waiting for task_1 to complete.

Acknowledged - task_1 still running. Agent has received directives to stop exploring and execute the final POST endpoint SQLi sweep. Waiting for completion.

Good progress - agent has confirmed VULN-01 re-validation (5429ms delay, db_name=████████uat, SQL Azure [REDACTED_VERSION]) and is now sweeping remaining POST/PUT endpoints in smaller batches. On track - waiting for completion.

Acknowledged - task_1 still running. Final wrap-up directive sent. Waiting for the agent to compile and submit results.

I'll start by following the mandatory steps: get workspace meta, search for relevant skills, and check existing files.

Good. Now let me download the required files and check auth profiles simultaneously.

Now let me read the auth token and set up the comprehensive testing script:

Now let me run the comprehensive SQLi testing. I'll start with schema discovery on all POST/PUT endpoints:

Good. Now I'll start Phase 1 - schema discovery on POST/PUT endpoints:

Let me try the injection parameters on each POST endpoint to discover schema:

Let me first verify the JWT works on the known-good dashboard endpoint:

The JWT may be expired or have insufficient privileges. Let me re-authenticate:

The JWT appears to need the proper auth header format. Let me re-authenticate:

Got a fresh JWT (expires 15:49 UTC). Now let me test which auth format works on Dashboard:

Let me try using Python's requests directly to test multiple auth formats:

Files are session-isolated. Let me write one comprehensive script that handles everything:

Understood. Running the full test sequence in one comprehensive execution:

Getting 500 now - auth is working! Let me probe deeper:

Good - 500s indicate active processing. Let me now test time-based SQLi with the WAITFOR DELAY payload:

Let me check http_history for prior successful requests to this endpoint:

Let me test some GET endpoints to understand the auth format, then come back to POST SQLi:

The 'basic' auth format works better. Now let me test with proper MerchantKeyId and find injectable parameters:

merchantKeyId=70001 works! Now let me test Dashboard with basic auth and proper params:

200 OK! The basic auth + MerchantKeyId="70001" works. Now decrypt and run full SQLi probes:

Executing the final sweep immediately.

🎯 CONFIRMED: Dashboard/GetDashboardData - 5429ms delay! Now fixing and continuing the full sweep:

CONFIRMED - 5164ms delta + db_name()=████████uat + @@version=SQL Azure [REDACTED_VERSION]. Now sweeping all remaining POST/PUT endpoints:

Timeout. Let me run smaller batches efficiently:

Now testing GET endpoints for unencrypted SQLi (Phase 3):

Now let me check the actual GET endpoints from the virtualpos_endpoints.json file and also test remaining POST-like "get data" endpoints:

Let me test additional ReportName values on the confirmed Dashboard endpoint and then compile results:

Excellent findings compiled. Now let me save results and create the final output:

Now upload the results:

Now let me write to the confirmed_findings.jsonl and VAPT Findings table:

Let me also submit to ████████ findings and provide the final summary table:

The task is complete. Let me provide the final summary table:

✅ FINAL SUMMARY TABLE

SQLi Sweep Results - virtualPOS API (uatapi.████████.in/virtualPOS/api/)

Results in. One confirmed finding, full sweep complete. Let me close the task and log the finding.

Now rendering the final results.

SQLi sweep of all 19 active virtualPOS endpoints is complete. Here's the bottom line:

1 confirmed Critical SQLi - 'POST /virtualPOS/api/Dashboard/GetDashboardData'

• 'WhereCondition' parameter, AES-CBC encrypted bypass, +5164ms delay confirmed, 'dbo' on '████████uat'
• This is the only endpoint in the virtualPOS namespace that routes through 'Vpos_GetDynamicRecords' - the vulnerable dynamic SQL stored procedure

18 endpoints not injectable via this vector - mutation endpoints (QuickPay, Transaction, MerchantSettings) use different code paths with no dynamic WHERE clause. GET endpoints are WAF-protected at the query string level (confirms the AES bypass is essential).

The attack surface for this specific pattern in virtualPOS is fully characterised. The same 'Vpos_...

Let me check existing findings and assets before creating to avoid duplicates.

No duplicate found. Now let me read the full SQLi pattern learning to build a comprehensive finding.

All details confirmed. No duplicates exist. Creating the finding now on the Payment Module asset (id: 9).

Approval pending - the finding is fully built and queued. Here's what was packed into it:

I'll start by getting workspace context, then proceed with the SQLi testing mission on Reports endpoints.

Good. Let me download the necessary files in parallel.

Token is expired. Let me run the login script to get a fresh JWT.

Now let me run the login script and parse the Reports endpoints simultaneously.

Auth successful. Now let me parse the endpoints to find all Reports-related ones.

225 endpoints! Let me get the full list of POST/PUT endpoints and prioritize them.

Now let me set up the AES encryption and start testing. I'll build the test framework.

Now let me run the SQLi tests on POST endpoints in batches.

All returning "Unauthorized details" - auth accepted but wrong body parameters. Let me check the virtualPOS results and try different body formats.

Let me check source files for Reports endpoint parameters and try different body formats.

Auth check blocks Merchant namespace with ResellerUser. Let me check reseller namespace and virtualPOS Reports endpoints where our user has access.

Now let me test the virtualPOS GET Reports endpoints and merchant_v2 POST endpoints.

GET endpoints need MerchantKeyId. Let me retry with proper required params and also test merchant_v2 POST endpoints.

Let me decrypt the virtualPOS GET responses and run proper time-based tests on them.

Let me now test the remaining Merchant POST endpoints (batch 2) and try with reseller-specific parameters.

Interesting! ReconReport took 2021ms with Filter param. Let me do a targeted test.

Let me check source files for the Reports endpoint parameters and try merchant_v2 GET endpoints.

405 on GET - these merchant_v2 endpoints might need POST. Let me try POST method.

Let me test the Merchant/api/Reports GET endpoints - read-only endpoints may be accessible to ResellerUser.

177 GET endpoints! Let me test a sample to find accessible ones, then inject into them.

405 on GET - these also need POST. Let me try POST on a sample of Merchant GET-listed endpoints.

Let me check the auth profiles and see if there's a Merchant-type user, plus look at reseller-specific endpoints.

Let me now check what virtualPOS endpoints haven't been tested yet, especially any that might accept report-style parameters.

/tmp cleared between executions. Need to re-download and re-authenticate.

All virtualPOS POST endpoints already tested. Let me scan virtualPOS GET endpoints with WhereCondition via different parameter names.

Let me now check the virtualPOS Dashboard namespace for other injectable endpoints and search for any GetDynamic/GetData patterns.

Let me now test virtualPOS filter/batch GET endpoints with injectable parameters, and also test Dashboard endpoints.

Excellent! GetDashboardData exposes the SP error without ReportName. Let me test it properly and also investigate F[REDACTED_ID] (500 error).

Let me try POST on the virtualPOS Transaction and Reports endpoints that returned 200, plus check for other accessible endpoints.

Let me do final checks - reseller namespace reports and any endpoints not tested yet.

Now I have all the data I need. Let me compile the final results and create the output files.

Now let me write the summary markdown and upload both files.

Now let me upload both files and also check the existing confirmed_findings.jsonl before saving.

Now let me update the auth token and check existing confirmed findings.

No new findings to add. Let me save the updated auth token for future agents.

Let me update the existing SQLi learning with the Reports namespace test results.

All results saved. Here is the complete summary of this mission:

✅ Mission Summary: SQLi Testing - Reports Namespace Endpoints

What I Did

1. Re-authenticated using 'login_script.py' - obtained fresh JWT (expires 17:34 UTC)
2. Parsed 'recon/api_endpoints.json' (857 total) - identified 225 Reports-related endpoints across 5 namespaces
3. Tested 47 endpoints with baseline, time-based ('WAITFOR DELAY '0:0:5''), and error-based ('CONVERT(int,db_name())') AES-encrypted payloads

What I Found

Let me load the SQLi pattern learning and check existing endpoints before planning.

Good. Now let me read the full SQLi pattern and check workspace files for the reports endpoints.

All context loaded. Let me check what auth artifacts and sqli results exist from the previous run.

All artifacts in place. Creating the task plan and dispatching the SQLi agent now.

Task completed. Let me read the results files before rendering the summary.

Results are in. Completing the task and rendering the full summary.

SQLi Sweep - Reports Namespace Complete

47 endpoints tested. 0 new SQLi confirmed.

What the sweep found

The core constraint

The test account ('ResellerUser') simply cannot reach the DB layer on Merchant-namespace endpoints. 216 endpoints remain untested - if they share the same 'Vpos_GetDynamicRecords' SP routing as VULN-01, they are likely also injectable. You cannot confirm or exclude this without a ...

Let me load the SQLi pattern learning and check workspace files before dispatching the agent.

Good. Let me read the full SQLi learning and the JS bundle learning to extract all Reports endpoints before planning.

Full picture clear. The key gap is a Merchant-type account - all 196 'Merchant/api/Reports' endpoints were blocked at auth layer with the ResellerUser JWT. Strategy:

1. Task 1 - Re-authenticate using workspace credentials to obtain a Merchant/Admin-level JWT
2. Task 2 - Run AES-encrypted SQLi sweep across all 'Merchant/api/Reports' POST endpoints with the new JWT

Acknowledged. Task 0 (login_auth_agent) is running in the background. I'll wait for it to complete before dispatching the SQLi sweep agent (task_1).

Current Status:

Waiting for task_0 to complete...

I'll help you obtain a fresh JWT for the ████████ MMS Portal UAT. Let me start by understanding the workspace context and gathering the necessary files.

Now let me download the necessary files:

Now let me read and analyze the session files:

Let me run the login script to get a fresh JWT: