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CVE-2024-7952 – Unauthenticated Sensitive Information Exposure – Rockwell Automation DataMosaix Priv

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Summary

CVE-2024-7952 is a sensitive data exposure vulnerability in Rockwell Automation’s DataEdgePlatform DataMosaix™ Private Cloud. The application contains hardcoded links in its source code that point to JSON files reachable without any authentication, allowing an unauthenticated network attacker to view customer data. The vulnerability affects version 7.07 and earlier and carries a high severity rating.

Technical details

  • Root cause: hardcoded links embedded in the application source code reference JSON files/endpoints that are not protected by authentication checks.
  • Trigger conditions: no credentials, prior access, or user interaction are required — an attacker only needs network reachability to the affected endpoints.
  • Attack vector: Network (AV:N), low attack complexity, no privileges or user interaction required.
  • Impact: disclosure of customer data via direct access to the exposed JSON files; no reported impact to integrity or availability.

Affected software

  • Rockwell Automation DataEdgePlatform DataMosaix™ Private Cloud — version 7.07 and earlier.

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
  • Weakness classification: CWE-798 (Use of Hard-coded Credentials)

Mitigation and recommended actions

  • Immediate: upgrade DataMosaix Private Cloud to version 7.09, which contains the fix.
  • If unable to patch immediately: no workaround is currently published; restrict network exposure of the application (place it behind a firewall/VPN, remove it from direct internet access) and follow general security best practices while prioritizing remediation, informed by environment-specific risk assessment (e.g., SSVC).

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.

  • Page title: FactoryTalk DataMosaix Private Cloud
  • Favicon fingerprint: exact hash match -1389597322

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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