Splunk Guide to Detect, Mitigate, and Respond to the CitrixBleed 2 Vulnerability
The cybersecurity landscape is grappling with CVE-2025-5777, informally known as “CitrixBleed 2,” an out-of-bounds memory read vulnerability affecting Citrix NetScaler ADC and Gateway devices.
This flaw, echoing the notorious CVE-2023-4966 from 2023, enables unauthenticated attackers to leak sensitive memory contents, including session tokens and authentication credentials, via malformed HTTP POST requests to the /p/u/doAuthentication.do endpoint.
Critical Impact on Enterprise Networks
With a CVSS score of 9.3, the vulnerability stems from insufficient input validation and uninitialized variable usage (CWE-457), allowing exploitation through simple payloads like an incomplete “login” parameter, which triggers the disclosure of residual data such as NSC_USER cookies, SAML tokens, and even administrative “nsroot” sessions.
Disclosed on June 17, 2025, and patched shortly after, the issue has already seen active exploitation, prompting CISA to add it to its Known Exploited Vulnerabilities catalog on July 10, 2025.
Researchers from ReliaQuest and GreyNoise have documented attacks dating back to early July, including ties to ransomware groups like RansomHub, with nearly 70,000 exposed instances identified by Censys scans.
This widespread exposure amplifies the threat, as NetScaler devices often serve as VPN gateways, load balancers, and authentication proxies in enterprise environments, potentially leading to session hijacking and MFA bypass without complex attack chains.
Mitigation Strategies
Leveraging Splunk for robust defense, organizations can integrate NetScaler’s audit logs via the official Splunk Add-on for Citrix NetScaler, enabling detailed parsing of events to spot exploitation indicators.
Key detection queries focus on anomalous POST requests to the vulnerable endpoint, such as those with malformed “login” parameters, using Splunk’s spath extractions to analyze URI, method, and request body for patterns like “logins*$” or incomplete structures, aggregating attempts by source IP and timestamp for rapid alerting.
Advanced analytics extend to the Web data model, employing tstats for efficient querying of HTTP methods, URLs, and status codes indicative of successful memory disclosures, while session hijacking detections monitor for IP mismatches, MFA bypasses, or users accessing from multiple distinct IPs flagging high-risk behaviors where unique_ips exceed thresholds like 5.
According to the Report, Authentication anomaly queries track excessive attempts from single clients, and crucially, memory leak detections scan for non-printable characters in
For mitigation, immediate patching to versions like 14.1-43.56 or 13.1-58.32 is essential, followed by session termination commands (e.g., kill icaconnection -all) to invalidate stolen tokens, alongside audits for post-exploitation artifacts like backdoors or configuration changes.
Network-based defenses, including Snort rule SID:65120, provide signature detection for malformed requests, drawing lessons from the original CitrixBleed’s rapid weaponization to emphasize proactive session management and incident response planning.
By implementing these Splunk-driven strategies, defenders can effectively counter this actively exploited vulnerability, minimizing the risk of widespread breaches in authentication infrastructure.
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