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CVE-2019-25765 – Unauthenticated SQL Injection – ASP-CMS (all versions)

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Summary

CVE-2019-25765 is a SQL injection vulnerability in ASP-CMS, a content management system built on classic ASP. The flaw resides in the commentList.asp endpoint, where the id parameter is not properly sanitized, allowing unauthenticated remote attackers to inject arbitrary SQL and retrieve sensitive database contents. The vulnerability carries a CVSS v4.0 base score of 8.7 (HIGH).

Technical details

  • Root cause: the id parameter passed to /plug/comment/commentList.asp is concatenated into a SQL query without adequate input validation, permitting UNION-based SQL injection.
  • ASP-CMS applies a keyword blocklist intended to strip dangerous SQL terms, but this filter can be bypassed by interleaving the string "master" within blocked keywords, allowing filtered terms to reassemble after the filter runs.
  • Attack vector: a crafted HTTP GET request to the vulnerable endpoint (e.g., id=-1 union select ... from {prefix}user) requires no authentication and no user interaction.
  • Impact: successful exploitation allows extraction of administrative account data, including login names and MD5-hashed passwords, from the underlying database.

Affected software

  • ASP-CMS — all released versions (the vendor uses a custom versioning scheme; no version is confirmed as fixed).

Severity

  • CVSS v4.0 Base Score: 8.7 (HIGH) — CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N
  • CVSS v3.1 Base Score: 7.5 (HIGH) — CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N

Mitigation and recommended actions

  • Immediate: No vendor-supplied patched version has been confirmed as available; organizations running ASP-CMS should treat all current deployments as exposed.
  • If no patch: Restrict or disable public access to /plug/comment/commentList.asp, deploy a web application firewall rule to block SQL injection payloads and blocklist-evasion patterns (e.g., strings interleaving "master" within SQL keywords) targeting the id parameter, and monitor database logs for anomalous UNION SELECT queries against user/credential tables.

How IONIX identifies potentially affected assets

IONIX matches the following signals against data already collected when it crawled the asset; identifying the technology sends no request beyond that crawl.

  • Raw response body: /inc/AspCms_Statistics.asp
  • URL of a loaded script: /inc/AspCms_Statistics.asp

References

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How IONIX’s External Exposure Management Platform Detects and Validates
Zero-Days to Shrink MTTR

1

Map your entire attack surface (continously)

IONIX uses multi-factor discovery methods, including DNS analysis, certificate mapping, metadata inspection, and more, to automatically map every internet-facing asset across your environment. This includes cloud instances, third-party platforms, shadow IT, and even forgotten infrastructure that traditional tools miss.

2

Monitor for new CVEs

Dozens of threat intel feeds using agentic technology are continuously analyzed to detect the appearance of proof-of-concept code, exploit kits, and indicators of active targeting. IONIX goes further by applying AI to proactively evaluate whether emerging vulnerabilities are likely to be exploited, even before PoCs go public.

3

Identify Potential External Exposures

Not all CVEs matter. IONIX filters vulnerabilities by asking attacker-centric questions: Can it be reached from the internet? Does it require authentication? Is it being exploited in the wild? This dramatically reduces noise and focuses teams on threats that can actually be weaponized.

4

Create Safe, Scalable Exploit Validations

IONIX transforms real-world PoCs into safe, non-intrusive test payloads that can be run in production environments without disruption. These simulations are precisely targeted to the systems that are vulnerable, ensuring rapid validation without unnecessary load.

5

Execute Exploit Validations

By combining context about software stack, versioning, exposure status, and reachability, IONIX ensures that only the right payloads are executed against the right assets, maximizing efficiency and minimizing risk.

6

Drive Fast and Actionable Remediation

Results are routed through integrations with ticketing, SOAR, and SIEM tools. Issues are written in plain language, bundled into remediation clusters, and prioritized based on asset criticality, exploitability, and blast radius. This shortens mean time to remediation (MTTR) and empowers teams to act with confidence.

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  • Mapping of all Assets with this Technology
  • Identification of potentially exposed assets to this CVE
  • Confirmation of verified exploitable assets
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