Atlassian has released patches for a critical vulnerability, CVE-2025-66516, affecting a wide array of its server and data center products. The flaw resides in Apache Tika, a third-party content analysis toolkit used by Atlassian products to parse documents. The vulnerability is a severe XML External Entity (XXE) injection flaw with a CVSS score of 10.0 out of 10.0. An attacker could exploit this vulnerability by uploading a malicious file to a vulnerable Atlassian product. Successful exploitation could result in remote code execution (RCE), allowing an attacker to take full control of the affected server. Given the criticality of the flaw and the widespread deployment of Atlassian products, organizations are strongly advised to apply the provided security updates on an emergency basis.
The vulnerability impacts Atlassian Server and Data Center products that use the affected versions of the Apache Tika library for file parsing (e.g., for attachments or indexing).
Atlassian has released patched versions for all affected products. The update also addresses several other high-severity vulnerabilities, including prototype pollution flaws CVE-2022-37601 (CVSS 9.8) and CVE-2021-39227 (CVSS 9.8).
There are no public reports of active exploitation at this time. However, given the perfect CVSS score and the public disclosure, it is highly likely that threat actors will develop exploits and begin scanning for vulnerable systems in the near future. The simplicity of exploiting XXE flaws makes this a particularly urgent threat.
A successful RCE attack against a Jira or Confluence server would be catastrophic. These systems are often the central hub for an organization's software development, project management, and internal knowledge. An attacker could steal proprietary source code, intellectual property, customer data, and strategic plans. They could also use the compromised server as a powerful pivot point to launch further attacks into the corporate network. The SSRF aspect of the vulnerability is also highly dangerous, as it could allow an attacker to bypass firewalls and access sensitive internal services like metadata endpoints in cloud environments.
| Type | Value | Description |
|---|---|---|
| log_source | Atlassian application logs | Look for error messages related to XML parsing or file processing immediately after a file upload. |
| network_traffic_pattern | Outbound connections from server to unexpected IPs/domains | An SSRF exploitation attempt may cause the server to make network requests to an attacker-controlled external server. |
| file_name | Files with embedded XFA forms | Monitor file uploads for PDFs containing XFA content, which is the specific vector mentioned. |
| command_line_pattern | java process spawning shells |
If RCE is achieved, the Java process running the Atlassian product may spawn child processes like sh, bash, or powershell.exe. |
The primary mitigation is to immediately apply the security patches provided by Atlassian for all affected products.
Mapped D3FEND Techniques:
Ensure XML parsers are configured securely to disable external entity resolution, which is the root cause of XXE vulnerabilities.
Run applications in a sandboxed environment with restricted file system and network access to limit the impact of a potential compromise.
For a CVSS 10.0 vulnerability like CVE-2025-66516, the only acceptable response is an emergency software update. Organizations must immediately activate their patch management protocol to deploy the security updates released by Atlassian for all affected products like Jira, Confluence, and Bamboo. Due to the risk of RCE on these business-critical systems, this should be treated as a 'patch now' event, bypassing normal testing cycles if necessary. Use vulnerability management tools to scan the entire environment and confirm that all instances of the vulnerable products have been identified and patched. A failure to patch promptly leaves the organization's most sensitive intellectual property and project data exposed to trivial exploitation.
While patching is the primary fix, this incident highlights the importance of Application Configuration Hardening as a defense-in-depth strategy. The root cause is an XXE flaw in the Apache Tika XML parser. Secure coding and configuration practices dictate that all XML parsers should be configured to disable the processing of external entities by default. While end-users of Atlassian products may not be able to change this configuration directly, this serves as a critical lesson for internal development teams. All applications that parse XML files must have external entity resolution explicitly disabled to prevent entire classes of XXE vulnerabilities. For temporary mitigation until patching is complete, a Web Application Firewall (WAF) could be configured with rules to inspect file uploads and block content containing common XXE payloads like <!DOCTYPE or <!ENTITY. However, this is not a foolproof solution and patching remains essential.
To detect a successful RCE exploitation of CVE-2025-66516, security teams must use Process Analysis on the Atlassian servers. An EDR agent should be deployed to monitor the java process associated with Jira or Confluence. A high-fidelity alert must be configured to trigger if this parent java process ever spawns a child process that is a shell or scripting interpreter (e.g., bash, sh, cmd.exe, powershell.exe). This is highly anomalous behavior and a strong indicator of a post-exploitation payload being executed. Correlating this process-level activity with network logs showing a recent file upload can help incident responders quickly pinpoint the source of the compromise.

Cybersecurity professional with over 10 years of specialized experience in security operations, threat intelligence, incident response, and security automation. Expertise spans SOAR/XSOAR orchestration, threat intelligence platforms, SIEM/UEBA analytics, and building cyber fusion centers. Background includes technical enablement, solution architecture for enterprise and government clients, and implementing security automation workflows across IR, TIP, and SOC use cases.
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