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CVE-2026-72548 – Unauthenticated Information Disclosure – OpenSign through 2.37.0

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Summary

CVE-2026-72548 is an unauthenticated information disclosure vulnerability (CWE-200) in OpenSignLabs OpenSign, an open-source document e-signing platform. The gettenant Parse cloud function accepts a contactId parameter and returns complete tenant records without enforcing authentication or authorization, allowing remote attackers to enumerate and expose tenant configuration data across organizations. It is rated HIGH severity with a CVSS v3.1 base score of 7.5.

Technical details

  • Root cause: The gettenant Parse cloud function does not perform authentication or authorization checks before returning tenant data.
  • Trigger conditions: An attacker invokes the gettenant function with a contactId parameter; no credentials or user interaction are required.
  • Attack vector: Network — the function is reachable remotely over the application’s Parse server interface.
  • Impact: Disclosure of complete tenant records, enabling enumeration and exposure of tenant configuration details across organizations. The flaw affects confidentiality only; integrity and availability are not impacted.

Affected software

  • OpenSignLabs OpenSign through version 2.37.0.

Severity

  • CVSS v3.1 base score: 7.5 (HIGH)
  • Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N

Mitigation and recommended actions

  • Immediate: At the time of publication, no fixed release is identified in the CVE record. Monitor the OpenSign project for a release that supersedes 2.37.0 and upgrade as soon as a patched version is available.
  • If no patch: Restrict network access to the OpenSign/Parse server so it is not reachable by untrusted networks, and place authentication/authorization controls (for example a reverse proxy or API gateway) in front of the Parse cloud function endpoints to block unauthenticated calls to gettenant.

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: opensign-server is running!!!
  • description meta tag content: The fastest way to sign PDFs & request signatures from others

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.

Are you exposed?

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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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