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CVE Vulnerability Database

CVE-2025-0162: IBM Aspera Shares XXE Vulnerability

CVE-2025-0162 is an XML external entity injection flaw in IBM Aspera Shares that enables authenticated attackers to expose sensitive data or exhaust memory. This article covers technical details, affected versions, and mitigation.

Published:

CVE-2025-0162 Overview

CVE-2025-0162 is an XML External Entity (XXE) injection vulnerability in IBM Aspera Shares versions 1.9.9 through 1.10.0 PL7. The flaw resides in the application's XML parsing logic, which fails to disable external entity resolution when handling user-supplied XML data. A remote attacker with valid authentication credentials can submit crafted XML payloads to disclose sensitive files from the host or exhaust memory resources. The weakness is classified under [CWE-611] Improper Restriction of XML External Entity Reference. IBM published a security bulletin acknowledging the issue and providing remediation guidance.

Critical Impact

An authenticated remote attacker can read sensitive files from the Aspera Shares server or trigger denial-of-service conditions through memory exhaustion using crafted XML documents.

Affected Products

  • IBM Aspera Shares 1.9.9 through 1.10.0 (base release)
  • IBM Aspera Shares 1.10.0 Patch Level 1 through Patch Level 7
  • All deployments processing XML input through the vulnerable parser

Discovery Timeline

  • 2025-03-07 - CVE-2025-0162 published to NVD
  • 2025-03-13 - Last updated in NVD database

Technical Details for CVE-2025-0162

Vulnerability Analysis

The vulnerability stems from how IBM Aspera Shares parses XML documents received from authenticated users. The XML parser permits the resolution of external entities defined inside Document Type Definitions (DTDs). Attackers can declare entities that reference local file paths on the server using the file:// URI scheme. When the parser expands these entities, the file contents are reflected in responses or processed in ways the attacker can observe.

The same parser behavior enables resource exhaustion attacks. Nested or recursive entity declarations can force the parser to allocate large amounts of memory, degrading service availability. The flaw maps to [CWE-611] and is exploitable over the network with low attack complexity, though valid credentials are required.

Root Cause

The root cause is an insecure XML parser configuration. The parser does not disable DOCTYPE declarations, external general entities, or external parameter entities. Secure defaults in modern XML libraries require explicit feature flags such as FEATURE_SECURE_PROCESSING or disallow-doctype-decl to block these constructs. Aspera Shares did not enable those protections in affected releases.

Attack Vector

Exploitation requires an authenticated session against the Aspera Shares web interface. The attacker submits an HTTP request containing an XML body with a malicious DTD. The DTD defines an external entity that references a local file or an attacker-controlled URL. When the server parses the request, it either returns file contents in an error response or transmits the data out-of-band through HTTP or DNS callbacks. The same vector supports billion-laughs style amplification to consume server memory. See the IBM Support Page for vendor-confirmed technical details.

Detection Methods for CVE-2025-0162

Indicators of Compromise

  • HTTP requests to Aspera Shares endpoints containing <!DOCTYPE or <!ENTITY declarations in XML bodies
  • XML payloads referencing SYSTEM identifiers with file://, http://, or ftp:// schemes
  • Outbound network connections from the Aspera Shares server to unexpected external hosts immediately following XML processing
  • Unusual memory consumption spikes in the Aspera Shares application process

Detection Strategies

  • Inspect web application logs for POST and PUT requests containing DTD keywords such as ENTITY, SYSTEM, or PUBLIC directed at XML-handling endpoints
  • Deploy web application firewall rules that flag XML payloads with external entity declarations
  • Correlate authenticated Aspera Shares sessions with outbound DNS queries to non-corporate domains

Monitoring Recommendations

  • Enable verbose XML parser logging on the Aspera Shares server to capture entity resolution attempts
  • Monitor file access events for the service account running Aspera Shares, especially reads of /etc/passwd, configuration files, or private keys
  • Track process memory usage of the Aspera Shares service and alert on sustained growth indicative of entity expansion attacks

How to Mitigate CVE-2025-0162

Immediate Actions Required

  • Apply the fixed version published by IBM as referenced in the IBM Support Page
  • Audit existing Aspera Shares user accounts and revoke unnecessary credentials to reduce the authenticated attack surface
  • Restrict network access to the Aspera Shares management interface using firewall rules or reverse proxies
  • Review recent authentication and access logs for signs of XML-based reconnaissance activity

Patch Information

IBM has released a patched version of Aspera Shares that addresses the XXE vulnerability. Administrators should consult the IBM Support Page for the exact fixed build number and upgrade procedure. The patch reconfigures the XML parser to reject external entity declarations and DTD processing.

Workarounds

  • Place a reverse proxy or web application firewall in front of Aspera Shares to strip or reject XML requests containing DOCTYPE declarations
  • Limit Aspera Shares user accounts to the minimum required for business operations until patching is complete
  • Apply egress filtering to prevent the Aspera Shares server from initiating outbound connections to untrusted networks, blocking common out-of-band data exfiltration channels
bash
# Example egress restriction using iptables to limit outbound traffic from the Aspera Shares host
iptables -A OUTPUT -d 10.0.0.0/8 -j ACCEPT
iptables -A OUTPUT -d 192.168.0.0/16 -j ACCEPT
iptables -A OUTPUT -p tcp --dport 443 -d trusted.partner.example -j ACCEPT
iptables -A OUTPUT -j DROP

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

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