Key Takeaways
- For over ten years, cybersecurity firms have assigned names to hacking groups, but the lack of a universal standard creates confusion even among experts.
- Google’s Threat Intelligence Group recently overhauled its naming convention, pairing a memorable first name with a second word whose initial denotes the attacker’s country of origin (e.g., Castle for China, Ion for Iran).
- The shift away from Mandiant’s numeric APT labels aims to improve clarity for internal and external security researchers tracking more than 5,000 activity clusters worldwide.
- Consistent naming enables defenders to understand adversary behavior, anticipate tactics, and respond more swiftly to incidents.
- State‑sponsored groups are easier to track than cybercriminal or hacker‑for‑hire operations because they exhibit stable targets and methods, whereas the latter are fluid and customer‑driven.
- No single organization can achieve perfect visibility; differing data sources and analytical perspectives mean that a universal naming scheme across all companies remains impractical.
- Google’s unified approach reduces the number of naming schemes to remember, but analysts must still consult comprehensive cross‑reference lists for groups tracked by other vendors.
Introduction to Hacker Group Naming
The practice of assigning monikers to malicious actors has been a staple of cybersecurity reporting for more than a decade. Names such as “Fancy Bear” entered mainstream discourse because of high‑profile breaches and their catchy appeal, while many other groups remain known only within specialist circles. This naming habit helps analysts communicate complex threat landscapes succinctly, yet the absence of a shared taxonomy often leads to duplicated effort and misunderstanding. As the volume of detected threat activity has exploded, the need for a clear, consistent naming framework has become increasingly urgent for both private‑sector defenders and government agencies tasked with national cyber defense.
Evolution of Naming Conventions
Early efforts to catalog hacking groups were largely ad hoc, with researchers coining labels based on observed tools, tactics, or the victim industries they targeted. Mandiant, once an independent security firm and now part of Google, pioneered a more systematic approach by introducing the “APT” (Advanced Persistent Threat) numbering system—APT1, APT41, and so forth. This numeric scheme provided a simple way to differentiate groups, but as the number of identified clusters grew into the thousands, the labels became unwieldy and offered little insight into the groups’ origins or motivations. The cybersecurity community recognized that a more descriptive method could improve situational awareness without sacrificing uniqueness.
Google’s Revamped Naming System
Last month, Google unveiled a refreshed naming convention developed by its Threat Intelligence Group (GTIG). Under the new model, each hacking group receives a two‑part name: a memorable, randomly chosen first name paired with a second word whose initial letter signals the suspected country of origin. For example, “Castle” denotes China, “Ion” represents Iran, “Neptune” stands for North Korea, and “Relic” refers to Russia. This structure replaces the former APT numeric labels that originated from Mandiant’s legacy system. GTIG Chief Technology Officer Shane Huntley explained that the redesign was driven by the need to bring clarity to both internal analysts and external partners who must quickly grasp who is behind a given intrusion.
Rationale Behind the Change
Huntley recalled that when companies began publishing threat reports in the early 2010s, they anticipated only a modest number of distinct threat actors. The reality, however, has proven far more complex: GTIG now monitors upwards of 5,000 “activity clusters” spanning numerous nations. The sheer volume made the old APT numbering scheme difficult to track, especially when multiple teams used slightly different variants. By adopting a naming system that embeds geographic clues directly into the moniker, Google hopes to reduce cognitive load, accelerate threat attribution, and foster better communication across the cybersecurity ecosystem.
Scale of Threat Activity Tracking
John Hultquist, chief analyst at GTIG, emphasized that the scale of state‑sponsored and criminal cyber operations has reached a point where virtually every developed nation maintains its own cyber capabilities. This proliferation means defenders must contend with a diverse array of adversaries, each pursuing distinct objectives ranging from espionage and intellectual property theft to financial gain and disruptive warfare. The ability to categorize these actors reliably is therefore not merely academic; it underpins practical defensive measures such as prioritizing patches, configuring detection rules, and informing incident‑response playbooks.
Purpose and Benefits of Naming Hackers
According to Huntley, the primary goal of naming hacking groups is to establish a baseline understanding of who is attacking whom and how. When a security team knows the typical behaviors, tools, and objectives of a specific actor, they can anticipate future moves, tailor defenses, and respond more efficiently to incidents. For instance, recognizing that the Lazarus Group—linked to North Korea—frequently targets financial institutions and cryptocurrency exchanges allows defenders to prioritize monitoring of relevant networks and to prepare specific mitigation strategies. Consistent naming thus transforms raw threat data into actionable intelligence that strengthens an organization’s overall security posture.
Insights from Google Threat Intelligence Leaders
Both Huntley and Hultquist stress that tracking state‑sponsored groups tends to be more straightforward than following cybercriminal or hacker‑for‑hire collectives. Government‑backed actors usually maintain stable mission sets, consistent infrastructure, and relatively static personnel, which makes their patterns easier to discern over time. In contrast, criminal enterprises often experience high turnover, splinter into offshoots, and adapt quickly to market demands, while hacker‑for‑hire firms serve a global clientele that can shift geographic focus from one contract to the next. These fluid characteristics increase the difficulty of maintaining long‑term profiles and underscore why a nuanced, behavior‑centric naming approach remains valuable.
Challenges with Tracking Different Actor Types
The variability inherent in cybercriminal and mercenary groups poses a significant challenge for any naming system. Because these actors frequently rebrand, lease infrastructure, or sell their services to multiple clients, a static label may quickly become outdated. Huntley acknowledged that even with abundant telemetry, no organization can claim perfect visibility into every facet of the threat landscape. Different companies collect data from distinct sensors, have varying access to intelligence feeds, and apply unique analytical frameworks, leading to divergent interpretations of the same activity. Consequently, expecting a single, universally accepted codename for every group is unrealistic.
Why a Universal Naming Scheme Is Unattainable
The heterogeneity of data sources and analytical perspectives makes a one‑size‑fits‑all naming convention impractical. Huntley pointed out that sharing more information among vendors does not eliminate the fundamental differences in how each entity perceives and categorizes threats. While collaborative efforts such as information‑sharing platforms and industry‑wide taxonomies (e.g., MITRE ATT&CK® groups) help align understanding, they cannot supplant the need for organizations to maintain internal naming schemes that reflect their specific visibility and mission priorities. Google’s updated system aims to reduce the number of competing nomenclatures within its own ecosystem, but analysts will still need to consult cross‑reference lists when correlating findings with those produced by other firms.
Conclusion and Implications
Google’s overhaul of its hacker‑group naming protocol reflects a broader industry movement toward clearer, more intuitive threat intelligence practices. By embedding geographic cues directly into group names and moving away from opaque numeric identifiers, GTIG seeks to enhance the speed and accuracy with which defenders can identify, understand, and mitigate cyber threats. While the initiative does not solve the inherent fragmentation of the cybersecurity landscape—where diverse data and analytical lenses inevitably produce varied views—it offers a pragmatic step toward reducing confusion within a major player’s operations. For policymakers, journalists, and the broader public, the revised naming convention provides a more accessible way to follow the evolving narrative of state‑sponsored and criminal cyber activity, ultimately contributing to a more informed and resilient digital society.