TF-MAL-jar.javadispcash
📛 Threat Title
Malware family: JavaDispCash
Description
ThreatFox malware family `jar.javadispcash`. Printable name: JavaDispCash.
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
jar.javadispcash
VT: VT base fetch failed: HTTPError: 429 Client Error: Too Many Requests for url: https://www.virustotal.com/api/v3/domains/jar.javadispcash
IOC database
- Type
- domain
- Value
jar.javadispcash- First seen
- Last seen
- Attached to this threat
- Appears in
- 1 threat
- Description
- Extracted from Threat TF-MAL-jar.javadispcash
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/jar.javadispcash
References (1)
- ThreatFox: IOCs for this family ThreatFox Malwares
Remediations (10)
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web:arxiv.org
Interpretable models are especially important in ad-versarial domains such as malware analysis, where understanding the rationale behind a classification can guide remediation efforts and enhance model robust-ness. This paper proposes a novel approach for detect-ing and explaining concept drift in malware families over time.
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web:github.com
The following library contains a collection of remediation scripts designed to remove common unwanted software, adware, and malware found in the wild. If you come across a particular program you'd like to remediate, feel free to download the corresponding script and use it in your environment.
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web:malpedia.caad.fkie.fraunhofer.de
JavaDispCash is a piece of malware designed for ATMs. The compromise happens by using the JVM attach-API on the ATM's local application and the goal is to remotely control its operation. The malware's primary feature is the ability to dispense cash. The malware also spawns a local port (65413) listening for commands from the attacker which needs to be located in the same internal network.
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web:www.breachsense.com
Complete malware remediation now requires addressing both the infected endpoint and the stolen authentication data. Your malware incident response playbook must account for both.
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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.first.org
Introduction Overview The Malware Analysis Framework, developed by FIRSTs Malware Analysis Special Interest Group (SIG), is a document aimed to help CSIRTs establish their own malware analysis workflow (s). It provides step-by-step guidance in all workflow phases on how to develop malware analysis capabilities within CSIRTs. This document also lists supporting resources that can further assist ...
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web:www.fortinet.com
FortiGuard Labs discovered new Symbiote and BPFDoor variants exploiting eBPF filters to enhance stealth through IPv6 support, UDP traffic, and dynamic port hopping for covert C2 communication.
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web:www.microsoft.com
Threat actors abused trusted Trivy distribution channels to inject credential‑stealing malware into CI/CD pipelines worldwide. This analysis walks through the Trivy supply‑chain compromise, attacker techniques, and concrete steps security teams can take to detect and defend against similar attacks.
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web:www.ncsc.gov.uk
How to defend organisations against malware or ransomware attacks.
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web:www.sciencedirect.com
This, in turn, helps reverse engineers discern the intent of a malware sample and understand the attackers' objectives. This survey classifies and compares the main findings in malware classification and composition analyses. We also discuss malware evasion techniques and feature extraction methods.
AI Forensic Analysis
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