{"id":86016,"date":"2025-12-11T19:11:25","date_gmt":"2025-12-11T19:11:25","guid":{"rendered":""},"modified":"-0001-11-30T00:00:00","modified_gmt":"-0001-11-30T00:00:00","slug":"cve-2025-31955-sensitive-data-exposure-vulnerability-in-hcl-iautomate","status":"publish","type":"post","link":"https:\/\/www.ameeba.com\/blog\/cve-2025-31955-sensitive-data-exposure-vulnerability-in-hcl-iautomate\/","title":{"rendered":"<strong>CVE-2025-31955: Sensitive Data Exposure Vulnerability in HCL iAutomate<\/strong>"},"content":{"rendered":"<p><strong>Overview<\/strong><\/p>\n<p>The CVE-2025-31955 vulnerability is a critical issue found in HCL iAutomate software. The vulnerability allows unauthorized users to gain access to sensitive information within the system, potentially leading to a system compromise or data leakage. The vulnerability poses a significant risk to all the organizations using the affected versions of this software and immediate attention is required to mitigate the risk.<\/p>\n<p><strong>Vulnerability Summary<\/strong><\/p>\n<p>CVE ID: CVE-2025-31955<br \/>\nSeverity: High (CVSS: 7.6)<br \/>\nAttack Vector: Network<br \/>\nPrivileges Required: None<br \/>\nUser Interaction: None<br \/>\nImpact: Unauthorized access to sensitive information, potential system compromise or data leakage<\/p>\n<p><strong>Affected Products<\/strong><\/p>\n<p>Product | Affected Versions<\/p>\n<p>HCL iAutomate | All versions prior to the latest security patch<\/p>\n<p><strong>How the Exploit Works<\/strong><\/p>\n<p>The exploit works by taking advantage of the improper handling of sensitive data by the HCL iAutomate software. An attacker can send specially crafted network requests to the targeted system to trigger this vulnerability. Upon successful exploitation, an attacker can gain unauthorized access to sensitive information within the system.<\/p>\n<p><strong>Conceptual Example Code<\/strong><\/p>\n<p>Here is a conceptual example of how the vulnerability might be exploited using a HTTP request:<\/p>\n<pre><code class=\"language-http\">POST \/vulnerable\/endpoint HTTP\/1.1\nHost: target.example.com\nContent-Type: application\/json\n{ \"malicious_payload\": \"extract sensitive data\" }<\/code><\/pre>\n<p>In the above example, the &#8220;malicious_payload&#8221; is a placeholder for the actual malicious code that an attacker would use. This code would be designed to exploit the sensitive data exposure vulnerability in the HCL iAutomate software.<\/p>\n<p><strong>Mitigation Guidance<\/strong><\/p>\n<p>Until a vendor patch is available, it is recommended to use a Web Application Firewall (WAF) or Intrusion Detection System (IDS) as a temporary mitigation. These systems can help to detect and block the malicious network requests that could exploit this vulnerability. Once the vendor patch is available, it should be applied immediately to fully address this vulnerability.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Overview The CVE-2025-31955 vulnerability is a critical issue found in HCL iAutomate software. The vulnerability allows unauthorized users to gain access to sensitive information within the system, potentially leading to a system compromise or data leakage. The vulnerability poses a significant risk to all the organizations using the affected versions of this software and immediate [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"footnotes":""},"categories":[],"tags":[],"vendor":[],"product":[],"attack_vector":[],"asset_type":[],"severity":[],"exploit_status":[],"class_list":["post-86016","post","type-post","status-publish","format-standard","hentry"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.5 - aioseo.com -->\n\t<meta name=\"description\" content=\"Overview The CVE-2025-31955 vulnerability is a critical issue found in HCL iAutomate software. The vulnerability allows unauthorized users to gain access to sensitive information within the system, potentially leading to a system compromise or data leakage. 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