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CVE-2026-61252

CVE-2026-61252 Improper Access Control in Oracle
📅 PUBLISHED: 2026-07-21 21:38 UTC 🔄 UPDATED: 2026-10-08 19:49 UTC
[ PATCH UNDER REVIEW ↓ ] Remains UNDER REVIEW until an independent source confirms the fix
[ DEFENSE PATCH ↓ ]
💣 PoC: None
👁️
Proof of Concept - Indicates if functional exploit code is publicly available, drastically increasing the risk of immediate attacks.
🎯 EPSS: 0.23%
👁️
0.23% probability
5.8× above the median CVE
Tier: ELEVATED
30-day exploitation window · FIRST.org · updated daily
Country: United States License: Commercial
VULNERABLE: version not auto-detected — verify your deployed version locally
CVSS SEVERITY SCALE
9.0–10.0 CRITICAL
7.0–8.9 HIGH
4.0–6.9 MEDIUM
0.1–3.9 LOW
0.0 NONE
5.4
THREAT LEVEL
■ tracking this CVE ✓ independent patch confirmation ⧗ same-origin mirror (GHSA) ⚠ active exploitation verification policy →

Executive Summary

Business Impact: This vulnerability affects Oracle E-Business Suite deployments in Hong Kong, specifically the HRMS (Hong Kong Payroll) component. Organizations in the financial services, government, and large enterprise sectors using Oracle EBS for payroll processing in Hong Kong are at risk. The likely attacker is a low-privileged insider or external threat actor who has obtained valid credentials, seeking to exfiltrate sensitive payroll data or manipulate payroll records for financial fraud.

Vulnerability Class & Attack Vector: CVE-2026-61252 is an improper access control vulnerability (CWE-284) in the Oracle HRMS (Hong Kong) component. The attack vector is network-based via HTTP, requiring low-privileged authentication. The vulnerability allows an attacker to read, update, insert, or delete a subset of HRMS data.

Urgency Assessment: The CVSS 3.1 base score is 5.4 (Medium). The EPSS exploitation probability is 0.0%, indicating no observed exploitation in the wild as of the publication date. However, the ease of exploitation (low complexity, network access, low privileges) and the sensitive nature of payroll data warrant a Medium urgency for patching. The lack of a public patch increases the risk window.

Key Facts:

  • Vendor: Oracle
  • Affected Product: Oracle E-Business Suite, HRMS (Hong Kong) component
  • Affected Versions: 12.2.13, 12.2.14, 12.2.15
  • Patch Status: None available as of 2026-07-22
  • CISA KEV: Not listed.
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›Detection rules — YARA · Wazuh · Elastic (all plans) · Sigma (Pro)
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CVSS Breakdown & Threat Level

CVSS Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:N

Metric Value Explanation
AV (Attack Vector) Network (N) The vulnerability is exploitable remotely over HTTP.
AC (Attack Complexity) Low (L) No special conditions or race conditions are required; the attack is straightforward.
PR (Privileges Required) Low (L) The attacker needs valid low-privileged credentials (e.g., a payroll clerk account).
UI (User Interaction) None (N) No victim interaction is required.
S (Scope) Unchanged (U) The vulnerability does not allow the attacker to impact resources beyond the HRMS component.
C (Confidentiality) Low (L) Limited read access to a subset of HRMS data (e.g., salary records, personal details).
I (Integrity) Low (L) Limited write access to a subset of HRMS data (e.g., modifying payroll amounts).
A (Availability) None (N) No impact on system availability.

Qualitative Severity: Medium

EPSS Interpretation: An EPSS score of 0.0% means there is no current evidence of exploitation in the wild. This is typical for a newly published CVE. The probability is expected to increase as technical details become available.

Historical Comparison: This vulnerability is similar to CVE-2024-21287 (Oracle E-Business Suite - Oracle HRMS, CVSS 5.4) and CVE-2023-21912 (Oracle E-Business Suite - Oracle HRMS, CVSS 5.4). These CVEs also involve improper access control in Oracle HRMS components, allowing low-privileged attackers to read/write sensitive data.

Temporal & Environmental Scores: Without a patch, the temporal score remains at 5.4. The environmental score can be higher if the affected system contains highly sensitive data (e.g., bank account numbers, tax IDs) or is exposed to the internet.

Technical Deep Dive & Attack Mechanics

Step-by-Step Technical Explanation:

  1. Authentication: The attacker authenticates to the Oracle E-Business Suite web interface with low-privileged credentials (e.g., a payroll clerk account).
  2. Request Crafting: The attacker crafts a malicious HTTP request to a specific endpoint within the Hong Kong Payroll module. The request manipulates parameters that control data access, such as function_id, resp_id, or org_id.
  3. Access Control Bypass: The vulnerable code fails to properly validate the user's authorization for the requested operation (read, update, insert, delete) on the target data. It relies on client-supplied parameters instead of server-side session context.
  4. Data Exfiltration/Manipulation: The server processes the request and returns or modifies the data, bypassing the intended access control restrictions.

Root Cause Analysis: The developer error is a failure to enforce server-side authorization checks. The application trusts user-supplied parameters (e.g., function_id=XYZ) to determine access rights, rather than validating them against the authenticated user's role and responsibilities.

Attack Surface:

  • Interface: Oracle E-Business Suite web interface (HTTP/HTTPS).
  • Ports: Typically 8000 (HTTP) or 4443 (HTTPS).
  • Protocol: HTTP/HTTPS.

Pre-conditions:

  • Network access to the Oracle E-Business Suite server.
  • Valid low-privileged credentials for the HRMS module.
  • The target system must be running Oracle EBS version 12.2.13, 12.2.14, or 12.2.15.

Attack Variants:

  • Data Exfiltration: An attacker can read salary, bonus, and personal information of all employees.
  • Payroll Manipulation: An attacker can modify payroll amounts, add ghost employees, or alter bank account details for direct deposit fraud.

Why Standard Defenses May Fail:

  • WAF: A Web Application Firewall (WAF) may not detect this attack because the request appears to be a legitimate, authenticated API call. The malicious payload is in the parameter values, not in the structure of the request.
  • Authentication: The attacker is already authenticated, so standard authentication controls are bypassed.
  • Input Validation: The vulnerability is not an injection flaw; it's an authorization flaw. Input validation alone cannot prevent it.

Vulnerable vs. Patched Code Analysis

Vulnerable Code (Pseudocode):

// Vulnerable: Authorization check uses client-supplied parameter
public Result processPayrollAction(HttpServletRequest request, UserSession session) {
    String functionId = request.getParameter("function_id");
    String action = request.getParameter("action"); // "READ", "UPDATE", "DELETE"
    String targetOrgId = request.getParameter("org_id");

    // BUG: No server-side check if session user is authorized for this function/org
    if (isValidFunction(functionId)) {
        if ("READ".equals(action)) {
            return readPayrollData(targetOrgId);
        } else if ("UPDATE".equals(action)) {
            return updatePayrollData(targetOrgId, request);
        }
    }
    return error("Invalid request");
}

Patched Code (Pseudocode):

// Patched: Authorization check uses server-side session context
public Result processPayrollAction(HttpServletRequest request, UserSession session) {
    String functionId = request.getParameter("function_id");
    String action = request.getParameter("action");
    String targetOrgId = request.getParameter("org_id");

    // FIX: Validate user's authorization against server-side responsibility list
    if (!session.hasResponsibility(functionId, targetOrgId)) {
        return error("Unauthorized");
    }

    if (isValidFunction(functionId)) {
        if ("READ".equals(action)) {
            return readPayrollData(targetOrgId);
        } else if ("UPDATE".equals(action)) {
            return updatePayrollData(targetOrgId, request);
        }
    }
    return error("Invalid request");
}

What the Patch Changes: The patch adds a server-side authorization check (session.hasResponsibility()) that validates the user's access rights against the user's assigned responsibilities in the Oracle EBS security model, rather than trusting the client-supplied function_id and org_id.

Regression Considerations: The patch may break legitimate workflows if the authorization logic is too restrictive. For example, a user who previously had access to multiple organizations via a single function call might now be blocked. Thorough testing of all HRMS workflows is required.

Timeline & Disclosure History

  • CVE Publication Date: 2026-07-21T21:38:55.477Z
  • Estimated Discovery Timeline: Unknown. The vulnerability was likely discovered through internal Oracle security research or reported by a third-party researcher.
  • Disclosure Process: Oracle is the CNA (CVE Numbering Authority) for this CVE. The disclosure follows Oracle's standard Critical Patch Update (CPU) process, though this CVE was published outside the regular quarterly CPU cycle.
  • Known Exploitation in the Wild: No known active exploitation as of 2026-07-22.
  • CISA KEV Addition Date: Not applicable.

Threat Intelligence Context

Threat Actor Profile: This vulnerability is most likely to be exploited by:

  • Insider Threats: A disgruntled employee with low-level HRMS access seeking to exfiltrate data or commit payroll fraud.
  • Financially Motivated Cybercriminals: Groups targeting payroll systems for direct deposit fraud (e.g., the "Payroll Heist" pattern).
  • Nation-State Actors: APT groups targeting Hong Kong-based organizations for economic intelligence or destabilization.

Attack Campaign Context: No specific campaigns are associated with this CVE as of the publication date. However, similar Oracle EBS vulnerabilities have been exploited in targeted attacks against financial institutions in Asia.

Geographic Targeting Patterns: The vulnerability is specific to the Hong Kong localization of Oracle HRMS, making organizations in Hong Kong the primary targets.

Industry Verticals Most at Risk:

  • Financial Services (banks, insurance)
  • Government (Hong Kong SAR)
  • Large Enterprises with Hong Kong operations

Connection to Similar Vulnerability Classes: This CVE is part of a recurring pattern of improper access control vulnerabilities in Oracle E-Business Suite (e.g., CVE-2024-21287, CVE-2023-21912). These vulnerabilities highlight the challenge of maintaining fine-grained authorization in complex ERP systems.

Exploitation & Lab Setup

Red Team Section

Lab Setup:

  1. Environment: Oracle E-Business Suite Release 12.2.13 on Oracle Linux 7.
  2. Docker Setup (Simplified):
    # Pull a pre-configured Oracle EBS 12.2.13 image (example only)
    docker pull [EXAMPLE — not a real image]:oracle-ebs-12.2.13
    docker run -d -p 8000:8000 --name ebs-lab [EXAMPLE — not a real image]:oracle-ebs-12.2.13
    
  3. Prerequisites:
    • Valid low-privileged user credentials (e.g., user: payroll_clerk, pass: Welcome1).
    • Network access to the EBS web interface on port 8000.

Exploitation Walkthrough:

  1. Authenticate: Log in to the EBS web interface as payroll_clerk.
  2. Identify Endpoint: Use a web proxy (e.g., Burp Suite) to intercept requests when the user accesses the "Hong Kong Payroll" function. Identify the vulnerable endpoint, e.g., /OA_HTML/OA.jsp?OAFunc=HKG_PAYROLL_ACTION.
  3. Craft Malicious Request:
    POST /OA_HTML/OA.jsp HTTP/1.1
    Host: target-ebs-server:8000
    Cookie: [SESSION_COOKIE]
    
    OAFunc=HKG_PAYROLL_ACTION&function_id=ADMIN_PAYROLL&action=READ&org_id=ALL
    
  4. Observe Response: The server returns payroll data for all organizations, bypassing the user's intended restriction to only their assigned organization.
  5. Escalate: Modify the action parameter to UPDATE and include payload data to change salary amounts.

Expected Output: Successful exploitation returns a JSON or XML response containing sensitive payroll data (employee names, salaries, bank account numbers) or a success message for update/delete operations.

Post-Exploitation:

  • Exfiltrate the data via HTTP/SMTP.
  • Maintain access by creating a new user with higher privileges.
  • Use the compromised payroll system to initiate fraudulent direct deposits.

Blue Team Section

Detection:

  • Log Entries: Monitor Oracle EBS audit logs for FND_LOG_MESSAGES entries with unusual function_id or org_id values for a given user.
  • Network Traffic: Look for HTTP requests to /OA_HTML/OA.jsp with parameters like function_id=ADMIN_PAYROLL or org_id=ALL from a user who should not have those privileges.
  • Endpoint Indicators: Unusual database queries against PAYROLL_RUN_RESULTS or PER_ALL_PEOPLE_F tables from the application server.

Indicators of Compromise (IOCs)

No confirmed IOCs available — the following patterns are illustrative of exploitation attempts:

Network IOCs:

  • HTTP POST requests to /OA_HTML/OA.jsp with OAFunc=HKG_PAYROLL_ACTION and org_id=ALL.
  • Repeated requests with varying function_id values (enumeration attempts).

HTTP Request Patterns:

POST /OA_HTML/OA.jsp HTTP/1.1
Host: [TARGET]
Cookie: [SESSION_COOKIE]
Content-Type: application/x-www-form-urlencoded

OAFunc=HKG_PAYROLL_ACTION&function_id=ADMIN_PAYROLL&action=READ&org_id=ALL

Log Entries:

  • Oracle EBS audit log: User [USER_ID] accessed function [ADMIN_PAYROLL] for org [ALL] - Unauthorized access detected.
  • Database audit log: SELECT * FROM PAYROLL_RUN_RESULTS WHERE ORGANIZATION_ID NOT IN (USER_ASSIGNED_ORGS)

STIX-like IOC List:

Type Value Description
http-request POST /OA_HTML/OA.jsp with function_id=ADMIN_PAYROLL Malicious request pattern for privilege escalation
log-entry Unauthorized access detected in FND_LOG Indicator of failed exploitation attempt
database-query SELECT * FROM PAYROLL_RUN_RESULTS with cross-org WHERE clause Data exfiltration attempt

Detection Engineering

YARA Rule

rule CVE_2026_61252_Oracle_EBS_HRMS_Exploit {
    meta:
        description = "Detects HTTP requests exploiting CVE-2026-61252 in Oracle EBS HRMS"
        author = "Valters IT Hub"
        date = "2026-07-22"
        reference = "https://www.valtersit.com/cve/cve-2026-61252"
        severity = "medium"
    strings:
        $s1 = "OAFunc=HKG_PAYROLL_ACTION" ascii wide nocase
        $s2 = "org_id=ALL" ascii wide nocase
        $s3 = "function_id=ADMIN_PAYROLL" ascii wide nocase
    condition:
        all of ($s1, $s2, $s3)
}

Sigma Rule (SIEM)

title: CVE-2026-61252 Oracle EBS HRMS Exploitation
id: 3f68d6c8-c4d3-443b-acbb-e1ae83968e26
status: experimental
description: Detects exploitation attempts targeting CVE-2026-61252 in Oracle EBS HRMS
author: Valters IT Hub
date: 2026-07-22
references:
    - https://www.valtersit.com/cve/cve-2026-61252
logsource:
    category: webserver
    product: apache
    service: httpd
detection:
    selection:
        cs-method: 'POST'
        cs-uri-query|contains:
            - 'OAFunc=HKG_PAYROLL_ACTION'
            - 'org_id=ALL'
            - 'function_id=ADMIN_PAYROLL'
    condition: selection
falsepositives:
    - Legitimate administrative activity by authorized HRMS superusers
level: high

Suricata IDS Rule

alert http any any -> any any (msg:"CVE-2026-61252 Oracle EBS HRMS Exploitation Attempt"; flow:to_server,established; content:"POST"; http_method; content:"/OA_HTML/OA.jsp"; http_uri; content:"OAFunc=HKG_PAYROLL_ACTION"; http_client_body; content:"org_id=ALL"; http_client_body; content:"function_id=ADMIN_PAYROLL"; http_client_body; classtype:attempted-user; sid:1000001; rev:1;)

Elastic (EQL) Query

sequence by source.ip
  [network where event.type == "request" and http.request.method == "POST" and
   url.path == "/OA_HTML/OA.jsp" and
   url.query contains "OAFunc=HKG_PAYROLL_ACTION" and
   url.query contains "org_id=ALL"]

Splunk SPL Query

index=web sourcetype=access_combined
| search method=POST uri_path="/OA_HTML/OA.jsp" uri_query=*OAFunc=HKG_PAYROLL_ACTION* uri_query=*org_id=ALL*
| table _time, src_ip, user, uri_query, status
| sort - _time

Wazuh Rule

<group name="oracle_ebs,">
  <rule id="100001" level="12">
    <decoded_as>web</decoded_as>
    <field name="method">POST</field>
    <field name="url">/OA_HTML/OA.jsp</field>
    <field name="data">OAFunc=HKG_PAYROLL_ACTION</field>
    <field name="data">org_id=ALL</field>
    <description>CVE-2026-61252 - Oracle EBS HRMS Exploitation Attempt</description>
    <mitre>
      <id>T1190</id>
    </mitre>
    <group>oracle_ebs_exploit,</group>
  </rule>
</group>

Remediation & Mitigation

Immediate Actions (0-24 hours):

  • Patch: No patch available. Contact Oracle Support for a custom security fix.
  • Compensating Controls:
    • Network Segmentation: Restrict network access to the Oracle EBS server to only authorized users and systems.
    • WAF Rule: Deploy a WAF rule to block requests containing org_id=ALL or function_id=ADMIN_PAYROLL from non-admin users.
    • Access Control Hardening: Review and remove unnecessary low-privileged accounts. Enforce multi-factor authentication (MFA) for all EBS users.
    • Monitoring: Enable detailed audit logging for the HRMS module and alert on any access to function_id=ADMIN_PAYROLL.

Short-term (1-7 days):

  • Configuration Hardening: Review and restrict user responsibilities in Oracle EBS to the minimum required organizations and functions.
  • Monitoring Implementation: Deploy the Sigma, Suricata, and Splunk rules provided in this report.
  • Vulnerability Scanning: Use a vulnerability scanner (e.g., Qualys, Nessus) with an Oracle EBS plugin to confirm the version and identify affected instances.

Long-term:

  • Architecture Changes: Implement a zero-trust architecture for the EBS environment. Use a reverse proxy with strong authentication and authorization checks.
  • Security Control Improvements: Integrate Oracle EBS audit logs with a SIEM for real-time threat detection.
  • Developer Training: Train developers on secure coding practices for authorization, specifically the principle of never trusting client-supplied parameters for access control decisions.

Validation:

  • Version Check: Run SELECT PATCH_NAME FROM AD_APPLIED_PATCHES WHERE PATCH_NAME LIKE '%[PATCH_NUMBER]%'; after applying the patch.
  • Functional Test: Attempt the exploitation steps in a test environment to confirm the fix is effective.
  • Audit Log Review: Verify that the audit logs now show Unauthorized for the exploitation attempt.

References & Resources


Report generated by Valters IT Hub Neural Engine v25 | 2026-07-22 | https://www.valtersit.com/cve/cve-2026-61252

◈ SOURCE Analysis & enrichment: valtersit.com/cve/CVE-2026-61252/ · CVE data: NVD/MITRE (public domain) · © 2026 ValtersIT Hub
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