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CVE-2026-48048 – Password Hash Disclosure – XWiki Platform 6.2.1 through 17.10.2

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Summary

CVE-2026-48048 is an information-disclosure vulnerability in XWiki Platform’s LiveTable feature. By sending modified parameters to LiveTableResults, an unauthenticated remote attacker can reconstruct a user’s password salt and hash one bit at a time, retrieving the full value in roughly 768 requests. It is rated HIGH severity (CVSS 7.5).

Technical details

  • Root cause: An incomplete fix for a prior vulnerability (GHSA-5cf8-vrr8-8hjm). Filtering of sensitive password and email properties in the LiveTable results remained inadequate, allowing the earlier protection to be bypassed.
  • Trigger conditions: Slightly modified parameters supplied to the LiveTableResults endpoint, issued iteratively (approximately 768 requests) to recover the full salt and hash.
  • Attack vector: Network, low complexity, no privileges and no user interaction required.
  • Impact: High confidentiality impact — exposure of user password salts and hashes. No impact on integrity or availability.

Affected software

  • XWiki Platform 6.2.1 through 16.10.16
  • XWiki Platform 17.0.0-rc-1 through 17.4.8
  • XWiki Platform 17.5.0-rc-1 through 17.10.2

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
CWE-359: Exposure of Private Personal Information to an Unauthorized Actor.

Mitigation and recommended actions

  • Immediate: Upgrade to XWiki Platform 16.10.17, 17.4.9, or 17.10.3 (or later).
  • If no patch: The fix can be applied manually to the XWiki.LiveTableResultsMacros wiki page using the referenced upstream commit (c444271).

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: <html data-xwiki-
  • A named meta tag (wiki): xwiki

References

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Map your entire attack surface (continously)

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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

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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

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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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