Custom malware used in Citrix 0-day attacks targeting govt, banks, professional services
Unknown attackers exploited critical Citrix NetScaler zero-days CVE-2026-88771/88772 since early September, deploying custom WHIPSHOT and SLAPSHOT malware for persistence and tunneling.
Citrix disclosed eight CVEs including critical CVE-2026-88771 and CVE-2026-88772 (CVSS 9.5) in NetScaler ADC and NetScaler Gateway, both exploited as zero-days before public disclosure. Google Threat Intelligence and Mandiant say the campaign, ongoing since at least early September, hit government, financial services, education, and legal/professional services organizations across North America and Europe. Post-exploitation tooling includes WHIPSHOT, a PHP web shell disguised as a Debian package hiding base64-encoded C2 in HTTP headers, and SLAPSHOT, a Python TCP tunneling tool that proxies traffic into internal networks. No attribution has been made; Mandiant urges customers to hunt for compromise before patching.
- Critical CVE-2026-88771/88772 (CVSS 9.5) actively exploited as zero-days before disclosure
- Targets included government, finance, education, and legal sectors in North America and Europe
- Custom WHIPSHOT web shell and SLAPSHOT tunneling tool establish persistent root access
- Malware proxied traffic for manual internal reconnaissance and credential theft
- Mandiant advises checking NetScaler appliances for web shells before patching
- ATT&CK
- T1190 Exploit Public-Facing ApplicationT1505.003 Web ShellT1090 Connection ProxyT1087 Account Discovery
Vulnerabilities mentioned
All| CVE | Vulnerability | CVSS | EPSS | Signals | Published |
|---|---|---|---|---|---|
CVE-2026-88771+1 related CVE | Unauthenticated RCE in Citrix NetScaler ADC and Gateway | 9.5 | 82% | KEVPoC ×5 | KEV |
From the original article
4 min read at theregister.comTwo questions remain: who is abusing the CVEs? And why did Citrix take so long to disclose?
By Jessica Lyons · theregister.com
A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.