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CVE-2026-69657 – Default Web UI Password Leading to Full Device Compromise – XING CPTrans-ME-X (befo

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Summary

CVE-2026-69657 is a use of default password vulnerability (CWE-1393) in XING CPTrans-ME-X, a rack-mount network accessory device from Xing Inc. Devices left in their initial configuration ship with a default password for the Web UI, allowing anyone who knows this credential to log in to the administrative interface. The issue is rated CRITICAL with a CVSS v3.0 base score of 9.8.

Technical details

  • Root cause: The device’s Web UI administrative interface is configured with a default password at initial setup.
  • Trigger conditions: The device has not had its default credentials changed since initial configuration.
  • Attack vector: Network-based; an attacker only needs network access to the device’s Web UI and knowledge of the default credential — no user interaction or elevated privileges are required.
  • Impact: Successful authentication grants unauthorized administrative access to the device, resulting in full compromise of confidentiality, integrity, and availability.
  • This vulnerability was disclosed alongside three related issues in the same product (OS command injection, exposure of sensitive system information, and use of hard-coded password), reported through Japan’s Information Security Early Warning Partnership and coordinated by JPCERT/CC.

Affected software

  • XING CPTrans-ME-X firmware versions prior to 1.8.1.17

Severity

  • CVSS v3.0 Base Score: 9.8 (Critical)
  • Vector: CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Mitigation and recommended actions

  • Immediate: Update device firmware to version 1.8.1.17 or later.
  • If unable to patch immediately: Change the default Web UI password to a strong, unique credential as soon as the device is deployed, and restrict network access to the administrative port/Web UI to trusted management networks only.

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: HITACHI Management (optionally followed by a separator and additional text)
  • Raw response body: CPTrans-ME

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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  • Identification of potentially exposed assets to this CVE
  • Confirmation of verified exploitable assets
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