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New CVE Detected

CVE-2026-60934 – Unauthorized Data Modification – Oracle WebCenter Content 12.2.1.4.0 / 14.1.2.0.0

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Summary

CVE-2026-60934 is a high-severity vulnerability in the Content Server component of Oracle WebCenter Content (part of Oracle Fusion Middleware). It allows an unauthenticated attacker with network access via HTTP to compromise the application, potentially resulting in unauthorized creation, deletion, or modification of critical data, as well as unauthorized read access to all data accessible through WebCenter Content. Oracle rates the flaw 8.7 (High) on CVSS 3.1, though it notes the vulnerability is difficult to exploit.

Technical details

  • Root cause: A flaw in the Content Server component of Oracle WebCenter Content that permits access to data beyond an attacker’s authorized scope.
  • Trigger conditions: Oracle describes the issue as "difficult to exploit," and the CVSS vector indicates high attack complexity (AC:H); no privileges or user interaction are required.
  • Attack vector: Network-based, over HTTP, without authentication (PR:N, UI:N).
  • Impact: Scope change (S:C) — a successful attack can significantly impact products beyond WebCenter Content itself, resulting in high confidentiality and integrity impact (unauthorized creation, deletion, or modification of critical/all accessible data, and unauthorized read access to that data). Availability is not impacted.

Affected software

  • Oracle WebCenter Content 12.2.1.4.0
  • Oracle WebCenter Content 14.1.2.0.0

Severity

  • CVSS v3.1 Base Score: 8.7 (High)
  • Vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:N

Mitigation and recommended actions

  • Immediate: Apply the fix provided in Oracle’s August 2026 Critical Patch Update (Security Alert dated 2026-08-18) for the affected WebCenter Content releases (12.2.1.4.0 and 14.1.2.0.0). Oracle strongly recommends applying the patch as soon as possible.
  • If patching cannot be applied immediately: Restrict network/HTTP access to WebCenter Content Server instances to trusted networks only, and monitor for unusual data creation, deletion, or modification activity until the patch is applied.

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: /idcplg?IdcService=

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

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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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