mlsanityData to 14 Oct 2026

Detecting Domain-Generation Algorithm (DGA) Based Fully-Qualified Domain Names (FQDNs) with Shannon Entropy

arXiv 2304.07943 ↗First posted 17 Apr 2023cs.CRcited by 1

Not on the map. Why?

Abstract (arXiv)

Domain Name System (DNS) is the backbone of the Internet. However, threat actors have abused the antiquated protocol to facilitate command-and-control (C2) actions, to tunnel, or to exfiltrate sensitive information in novel ways. The FireEye breach and Solarwinds intrusions of late 2020 demonstrated the sophistication of hacker groups. Researchers were eager to reverse-engineer the malware and eager to decode the encrypted traffic. Noticeably, organizations were keen on being first to "solve the puzzle". Dr. Eric Cole of SANS Institute routinely expressed "prevention is ideal, but detection is a must". Detection analytics may not always provide the underlying context in encrypted traffic, but will at least give a fighting chance for defenders to detect the anomaly. SUNBURST is an open-source moniker for the backdoor that affected Solarwinds Orion. While analyzing the malware with security vendor research, there is a possible single-point-of-failure in the C2 phase of the Cyber Kill Chain provides an avenue for defenders to exploit and detect the activity itself. One small chance is better than none. The assumption is that encryption increases entropy in strings. SUNBURST relied on encryption to exfiltrate data through DNS queries of which the adversary prepended to registered Fully-Qualified Domain Names (FQDNs). These FQDNs were typo-squatted to mimic Amazon Web Services (AWS) domains. SUNBURST detection is possible through a simple 1-variable t-test across all DNS logs for a given day. The detection code is located on GitHub (https://github.com/MalwareMorghulis/SUNBURST).

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 17 Apr 2023.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 1.

1 paper.

Similar, not cited

Close in wording, no citation either way

  1. 2025Is Crunching Public Data the Right Approach to Detect BGP Hijacks? ↗
  2. 2026Boundary Point Jailbreaking of Black-Box LLMs
  3. 2026Operationalizing Cyber Threat Intelligence with GraphRAG
  4. 2024Poisoning Decentralized Collaborative Recommender System and Its Countermeasures
  5. 2025BEAR: BGP Event Analysis and Reporting
  6. 2026A Structured State Space Sequence Model for Multi-Class Classification of Malware
  7. 2025Dark Distillation: Backdooring Distilled Datasets without Accessing Raw Data
  8. 2026Same Name, Different Server: A Security Census of Silent Drift in the Model Context Protocol Ecosystem