Mallory pivots from this family to the IOCs, detections, and named campaigns that touch your stack, and pages you when something new lands.
23 distinct techniques documented for this family, organized by ATT&CK tactic.
GoBotKR uses base64 to obfuscate strings, commands and files.
GoBotKR uses filenames and registry key names associated with legitimate software.
GoBotKR removes the Zone identifier from the ADS (Alternate Data Streams) of the file, to conceal the fact the file has been downloaded from the internet.
GoBotKR uses netsh and ipconfig to collect information about the network configuration. It has used Naver and Daum portals to obtain the client IP address.
GoBotKR uses whoami to obtain information about the victimized user. It runs tests to determine the privilege level of the compromised user.
129 indicators attributed across vendor reports, sandbox runs, and researcher write-ups. Full values are available in Mallory.
IPs, domains, and DNS infrastructure linked to this family.
File hashes (MD5, SHA-1, SHA-256) from samples and reports.
Other indicator types observed in public reporting.
3 sources tracked across advisories, community write-ups, and news. New activity surfaces here as Mallory finds it.
A publicly available Go-based backdoor whose source code served as the basis for GoBotKR. It includes botnet and backdoor capabilities and several anti-analysis and evasion features inherited by GoBotKR.
A Go-based malware family identified at scale in the dataset; the name and grouping indicate botnet-style functionality.
Match every observed IP, domain, and hash against your live telemetry.
Named campaigns wielding this family, with evidence pinned to each claim.
CVEs this family uses for access and lateral movement.
YARA, Sigma, Snort, and vendor rules, auto-deployed to your SIEM.
Every documented technique, ranked by evidence weight.
Reddit, Mastodon, and CTI community discussion around this family.