# detection-engineering Published articles for detection-engineering. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## SpectrePaste: An AI-Assisted, Fileless PowerShell Malware Delivery System DevFeed: [SpectrePaste: An AI-Assisted, Fileless PowerShell Malware Delivery System]() Original publisher: [Read original article]() Author: Joshua Platt Published: 2026-07-06T18:54:30Z Content type: article Language: en Sources: [Walmart Global Tech]() Topics: [Artificial Intelligence](), [Malware](), [Threat Research](), [PowerShell](), [C2](), [Caching](), [Encryption](), [Resilience](), [Routing (disambiguation)](), [Polymorphism](), [Back end](), [Spec Driven Development]() Tags: [ai](), [artificial-intelligence](), [backend](), [c2](), [cache](), [cybersecurity](), [detection-engineering](), [encryption](), [malware](), [malware-analysis](), [polymorphism](), [powershell](), [resilience](), [routing](), [spec-driven-development](), [threat-intelligence]() ### AI overview The article describes SpectrePaste, a previously undocumented fileless malware delivery system that threat actors used with AI as its primary orchestrator and developer. Its early architecture included automated AMSI-bypass generation, XOR-encrypted payloads, resilient command-and-control traffic handling, caching, request queuing, and administrative priority routing. ### Source excerpt by Joshua Platt and Jason Reaves [TLP:CLEAR] Earlier this year, Google Threat Intelligence[1] reported threat actors are increasingly deploying novel, AI-enabled malware in active operations[2]. While investigating a recent OSINT article[3] on malware campaign activity reported as "DeepLoad", our threat intelligence team identified a separate, previously undocumented fileless delivery system we track as "SpectrePaste". The prior public reporting correctly suspected AI involvement in the "DeepLoad" delivery chain, but our analysis reveals a more conclusive and concerning reality. AI did not just play a supporting role. It acted as the primary orchestrator and developer behind the entire SpectrePaste system. Threat actors internally referred to the early system as "PasteFast Panel." In this initial iteration, the system was highly modular, structured, and designed specifically for resilience against high-volume bot traffic. One of the hallmarks of automated, AI-assisted development. The early architecture functioned as a centralized PowerShell payload delivery system with several notable features: Automated Evasion Generation: The paste builder module automatically prepended Anti-Malware Scan Interface (AMSI) bypass scripts to payloads upon creation, followed by XOR encryption using a custom obfuscator template. This ensured every payload served was dynamically packed. C2 Resilience & High-Load Handling: The most sophisticated feature of the early version was its custom cache manager queue system. The threat actors anticipated massive, simultaneous beaconing from compromised hosts. To prevent database exhaustion, the panel featured an automated threshold toggle. During traffic spikes, the system queued requests, cached the encrypted payloads in memory, and deduplicated IP addresses to ensure a single infected bot could not inadvertently DDoS the command server. Admin Priority Routing: Developer requirements explicitly prioritized operator access. Administrative routes ## Know your tools: The full range of Elastic Security's detection engineering capabilities DevFeed: [Know your tools: The full range of Elastic Security's detection engineering capabilities]() Original publisher: [Read original article]() Author: Kseniia Ignatovych Published: 2024-11-12T05:00:00Z Content type: article Language: en Sources: [Elastic Blog - Elasticsearch, Kibana, and ELK Stack]() Topics: [Detection engineering](), [Security](), [SIEM, Security](), [threat detection](), [alert triage](), [Tooling]() Tags: [alert-fatigue](), [alert-triage](), [automated](), [automated-threat-protection-cybersecurity-defense-security-compliance](), [blog](), [detection-engineering](), [elastic](), [features](), [latest-features](), [quality](), [security](), [security-siem](), [siem](), [threat-detection](), [tools](), [workflows]() ### AI overview This Elastic Security blog provides an overview of detection engineering capabilities, including customizable prebuilt rules, alert suppression, manual rule runs, automated case creation, and machine learning jobs. ### Source excerpt This blog provides a comprehensive overview of the detection capabilities available in Elastic Security. Learn about the latest features and get useful tips and tricks for your detection practice!