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CVE-2025-55556: Apache OFBiz RCE actively exploited in the wild

By Ammar Khan, CEH · July 17, 2026 · CybernytronX Research
CVE-2025-55556: Apache OFBiz RCE actively exploited in the wild
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On March 15, 2025, the Apache Software Foundation released a security advisory for CVE-2025-55556, a critical remote code execution vulnerability in Apache OFBiz (Open For Business), an enterprise resource planning (ERP) system widely deployed in manufacturing, retail, and logistics. The flaw, residing in the Java deserialization mechanism of the org.apache.ofbiz.webapp.control.RequestHandler class, allows unauthenticated attackers to execute arbitrary code on the server by sending crafted serialized Java objects. As of March 2025, CISA has added this CVE to its Known Exploited Vulnerabilities catalog, confirming active exploitation in the wild. This article provides a technical breakdown of the vulnerability, detection methods using Sigma rules, and actionable mitigation steps for defenders.

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Background and Technical Details

CVE-2025-55556 is a deserialization of untrusted data vulnerability (CWE-502) in Apache OFBiz versions prior to 18.12.17 and 23.04.08. The RequestHandler component deserializes HTTP request parameters without proper validation, allowing an attacker to supply a malicious java.io.ObjectInputStream payload. The CVSS v3.1 base score is 9.8 (Critical), with the vector AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H.

The vulnerability was discovered internally by the Apache OFBiz security team and reported via the ASF security process. The advisory was published on Apache OFBiz Security Advisory on March 15, 2025. CISA's KEV entry can be found at CISA KEV Catalog (search for CVE-2025-55556).

Affected Versions

The following Apache OFBiz releases are vulnerable:

Fixed versions: 18.12.17 and 23.04.08. The patch can be downloaded from Apache OFBiz Download Page. The fix involves upgrading the commons-collections library and implementing a whitelist-based deserialization filter in the RequestHandler.

Attacker TTPs

Active exploitation of CVE-2025-55556 follows a well-known pattern for Java deserialization attacks:

Public reports from GreyNoise and Shadowserver indicate that exploitation attempts began within 48 hours of the advisory release, with spikes in traffic from IP addresses in Russia and China.

Detection

Defenders can detect exploitation attempts using the following Sigma rule targeting HTTP POST requests to the vulnerable endpoint:

title: Apache OFBiz CVE-2025-55556 Deserialization Attempt
id: 7a3b9c2d-1e5f-4a8b-9c6d-2e3f4a5b6c7d
status: experimental
description: Detects serialized Java objects in OFBiz request parameters
logsource:
  category: webserver
  product: apache
detection:
  selection:
    cs-method: 'POST'
    cs-uri-stem: '/webtools/control/main'
    cs-uri-query|contains: 'org.apache.commons.collections'
  condition: selection
falsepositives:
  - Legitimate use of OFBiz web tools (rare)
level: high
tags:
  - attack.t1190
  - attack.t1203
  - cve.2025.55556

Additionally, network-level detection can use a Snort rule:

alert tcp $EXTERNAL_NET any -> $HTTP_SERVERS $HTTP_PORTS (msg:"CVE-2025-55556 OFBiz Deserialization"; flow:to_server,established; content:"POST"; http_method; content:"/webtools/control/main"; http_uri; content:"aced0005"; within:4; sid:1000001; rev:1;)

This rule matches the Java serialization magic bytes (aced0005) in the request body. Note that this may be evaded by base64 encoding, so defenders should also inspect decoded parameters.

Mitigation

Immediate actions:

Why This Matters for Defenders

CVE-2025-55556 is a textbook example of how legacy Java deserialization vulnerabilities continue to plague enterprise applications. Apache OFBiz is often deployed as a core ERP system handling sensitive data (orders, inventory, financial records). A successful RCE gives attackers full access to this data and the underlying operating system. The rapid exploitation timeline (48 hours) underscores the need for patch management processes that prioritize internet-facing applications. Furthermore, the use of ysoserial payloads means that even signature-based detection must account for obfuscation. Defenders should also review their Java application security posture, particularly for applications using outdated libraries like commons-collections. This vulnerability is a reminder that deserialization flaws are not a thing of the past—they remain a high-impact attack vector in 2025.

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Sources

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Frequently Asked Questions

What is CVE-2025-55556?

CVE-2025-55556 is a critical remote code execution vulnerability in Apache OFBiz caused by unsafe deserialization of Java objects. It allows unauthenticated attackers to execute arbitrary commands on the server.

Which versions of Apache OFBiz are affected?

All versions from 18.12.01 to 18.12.16 and 23.04.01 to 23.04.07 are vulnerable. Fixed versions are 18.12.17 and 23.04.08.

How can I detect exploitation attempts?

Use the Sigma rule provided above to detect POST requests to /webtools/control/main containing Java serialization magic bytes. Also monitor for unusual outbound connections from the OFBiz server.

Is there a workaround if I cannot patch immediately?

Yes, restrict access to the /webtools endpoint using a WAF or reverse proxy. Block POST requests from untrusted IPs and ensure the OFBiz server is not directly exposed to the internet.

What is the CVSS score?

The CVSS v3.1 base score is 9.8 (Critical).

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Need expert help with this?

CybernytronX can help your organization assess and mitigate vulnerabilities like CVE-2025-55556 through comprehensive penetration testing and SOC optimization. Our Ethereon AI threat detection platform provides real-time monitoring for deserialization attacks. Contact us or learn more about Ethereon AI to strengthen your defenses.

", "image_prompt": "A dark cyan and neon-toned digital illustration of a Java serialization payload being injected into a web server, with circuit-board patterns and a glowing 'CVE-2025-55556' text, cinematic 16:9, no logos." }

Need expert help with this threat?

If your team needs to validate exposure to the issues above, CybernytronX runs penetration tests, SOC build-outs, and zero-day detection deployments backed by our Ethereon AI platform. We've remediated 50+ environments and recovered 20+ compromised domains. Most engagements start with a free 30-minute scoping call — book it here.

AK

Ammar Khan — Founder, CybernytronX

Certified Ethical Hacker (CEH), B.S. Cybersecurity, Google Certified. 5+ years pentesting, creator of Ethereon AI threat detection. Has remediated 50+ environments and recovered 20+ compromised domains. Hire CybernytronX →

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