TF-MAL-elf.singularity
📛 Threat Title
Malware family: Singularity
Description
ThreatFox malware family `elf.singularity`. Printable name: Singularity.
Indicators of Compromise (1)
Each indicator is enriched from the IOC database, threat-intel feed corroboration (Threat Hunt) and VirusTotal. Click one to expand.
domain
elf.singularity
VT: VT base fetch failed: HTTPError: 429 Client Error: Too Many Requests for url: https://www.virustotal.com/api/v3/domains/elf.singularity
IOC database
- Type
- domain
- Value
elf.singularity- First seen
- Last seen
- Attached to this threat
- Appears in
- 1 threat
- Description
- Extracted from Threat TF-MAL-elf.singularity
Threat Hunt — feed corroboration
Not present in any configured threat-intel feed.
Details From VirusTotal
VirusTotal: VT base fetch failed: HTTPError: 429 Client Error: Too Many Requests for url: https://www.virustotal.com/api/v3/domains/elf.singularity
References (1)
- ThreatFox: IOCs for this family ThreatFox Malwares
Remediations (10)
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web:arxiv.org
Here we introduce and showcase preliminary capabilities of a new method that can perform precise identification of novel malware families, while also uni-fying the capability for malware /benign-ware classification and malware family classification into a single framework.
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web:kfchou.github.io
I don't usually write about security, but as a frequent user of Claude Code, I felt the recent news of the s1ngularity attack warrants special attention. Just as we all started to rely on AI CLI tools like Claude and Gemini to enhance our work, hackers just exploited them in a real supply-chain attack. It's the first time we've seen this in the wild.
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web:nx.dev
Malicious Nx packages were published to npm via GitHub Actions exploit. Learn what happened and how we enhanced security measures.
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web:www.bleepingcomputer.com
Investigations into the Nx "s1ngularity" NPM supply chain attack have unveiled a massive fallout, with thousands of account tokens and repository secrets leaked.
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web:www.cisa.gov
It highlights technical approaches to uncovering malicious activity and includes mitigation steps according to best practices. The purpose of this report is to enhance incident response among partners and network administrators along with serving as a playbook for incident investigation.
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web:www.content.shi.com
04 Automate response across diferent domains Singularity XDR enables analysts to take all the required actions to automatically resolve threats with one click, without scripting, on one, several, or all devices across the estate. With one click, the analyst can execute remediation actions such as network quarantine, auto-deploy an agent on a rogue workstation, or automate policy enforcement ...
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web:www.mdpi.com
Identifying malware families is vital for predicting attack campaigns and creating effective defense strategies. Traditional signature-based methods are insufficient against new and evasive malware , highlighting the need for adaptive, multimodal solutions. This paper proposes a deep learning framework that fuses visual and static features through a ConvNeXt-Tiny backbone with cross-attention ...
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web:www.ox.security
The malware operated silently, leveraging post-install scripts and AI command-line interfaces to harvest and upload data to attacker-controlled GitHub repos. This is a wake-up call for every organization that relies on open-source packages in their CI/CD pipelines. What Made s1ngularity Different? Unlike traditional supply chain attacks ...
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web:www.redteamnews.com
The defining characteristic of the s1ngularity attack was its use of artificial intelligence to enhance the effectiveness of its credential harvesting. The `telemetry.js` malware was programmed to check for the presence of popular AI command-line tools, including Claude, Q, and Gemini, on the infected developer's machine 1. If found, the malware would use these tools to execute Large ...
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web:www.wiz.io
s1ngularity's Aftermath: AI, TTPs, and Impact in the Nx Supply Chain Attack A deeper look at the Nx supply chain attack: analyzing the performance of AI-powered malware , calculating incident impact, and sharing novel TTPs for further investigation.
AI Forensic Analysis
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