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CVE-2026-61265 – Unauthenticated Remote System Takeover – Oracle JD Edwards EnterpriseOne Tools (Orc

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Summary

CVE-2026-61265 is a vulnerability in the E1 IOT Orchestrator Security component of Oracle JD Edwards EnterpriseOne Orchestrator that allows an unauthenticated attacker with network access via TLS to compromise the Orchestrator. Oracle rates the issue HIGH severity (CVSS 3.1: 8.1), with successful exploitation potentially resulting in complete takeover of the affected system’s confidentiality, integrity, and availability.

Technical details

  • Root cause: a flaw in the E1 IOT Orchestrator Security component of JD Edwards EnterpriseOne Orchestrator.
  • Trigger conditions: exploitation requires no authentication and no user interaction, but Oracle rates attack complexity as High, meaning specific conditions or additional information/access beyond the network path must be present for a successful attack.
  • Attack vector: network, reachable over TLS.
  • Impact: if successfully exploited, results in high impact to confidentiality, integrity, and availability — described by Oracle as potential full compromise of the Orchestrator.

Affected software

  • Oracle JD Edwards EnterpriseOne Orchestrator (E1 IOT Orchestrator Security component), versions 9.2.0.0 through 9.2.26.4.

Severity

  • CVSS v3.1 Base Score: 8.1 (HIGH)
  • Vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H

Mitigation and recommended actions

  • Immediate: apply the fix provided by Oracle in the August 2026 Critical Patch Update for all affected JD Edwards EnterpriseOne Tools/Orchestrator deployments running versions 9.2.0.0 through 9.2.26.4.
  • If patching cannot be applied immediately: restrict network access to JD Edwards EnterpriseOne Orchestrator interfaces to trusted networks only, and monitor TLS-exposed Orchestrator endpoints for anomalous activity until the patch is deployed.

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: E1URLFactory(
  • Page title: JD Edwards
  • Loaded script URL: /jde/share/js/e1.js

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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