Oman's Cyber Threat Landscape
A comprehensive analysis of info-stealers and ransomware attacks targeting Oman, featuring exclusive intelligence from dark web monitoring and threat actor tracking.
Executive Summary
Critical insights from our 2024-2025 threat intelligence analysis
Key Findings
Over the past five years, Oman has experienced a significant rise in cyberattacks involving information-stealing malware ('info-stealers') and ransomware. This surge aligns with global trends accelerated by the COVID-19 pandemic, which forced rapid digital transformation and remote work. Cybercriminals have exploited the expanded attack surface – from employees' home networks to vulnerable remote access services – resulting in escalating threat activity year after year. Oman, despite being ranked among the top three countries worldwide in cybersecurity preparedness (tied with Australia and Malaysia), has not been immune to these threats. On the contrary, the Sultanate's increasing connectivity and strategic industries (energy, finance, government, etc.) have made it a tempting target for both financially motivated hackers and state-sponsored groups.
Threat Evolution (2020-2024)
The dramatic rise in cyber threats targeting Oman
Critical Ransomware Intelligence
New 2024-2025 victims and attack patterns
Latest Ransomware Victims
Trend Alert8 out of 12 total victims were compromised in 2024 alone - a 300% increase from previous years.
RDP Brute-Force Attacks
Dark Web Intelligence
What threat actors are saying about Oman
Sector Targeting Analysis
Info-Stealer Infections
Lumma StealerGlobal Lumma Stealer takedown in May 2025 seized 2,300 command & control servers and 394,000 fresh credential logs. 240 .om domains appeared in Lumma logs between January-May 2025, indicating widespread info-stealer activity targeting Omani organizations.
Economic Impact Analysis
The true cost of cyber attacks on Oman's economy
NeoSec.ai Solution
Next-Generation Threat Intelligence & Proactive Defense
NeoIntelligence Platform
Transform your cybersecurity posture from reactive defense to predictive intelligence. Our AI-powered platform monitors the dark web, analyzes emerging threats, and provides actionable intelligence before attacks reach your infrastructure.
Dark Web Monitoring for Early Warnings
NeoIntelligence continuously scans dark web forums, marketplaces, and leak sites for any mention of clients' domains, employee accounts, or data.
Leaked Credentials and Threat Actor Intelligence
Tracks threat actor activities and data trading, monitoring initial access brokers selling VPN access or RDP logins.
Early Malware Detection and Analysis
Advanced malware detection using sandbox analysis and machine learning to spot novel malware before damage.
Proven Impact Metrics
Dark Web Monitoring
24/7 surveillance of underground markets and threat actor communications
Predictive Defense
Machine learning algorithms predict and prevent attacks before they occur
Human Expertise
Cybersecurity experts available for immediate threat response and guidance
Why NeoIntelligence Closes the 2024/25 Gaps
Addressing the latest threat landscape with precision intelligence and proactive defense
Stealer-fuelled Credential Resale
Corporate credentials harvested by info-stealers and sold on dark markets, giving attackers direct access to organizational systems.
Current Threat Level
- 6.8k Omani devices in stealer dumps
- Fresh Lumma logs every week
- 1,932 corporate emails for sale
NeoIntelligence Solution
- Live dark-web sweeps every 15 minutes
- 90+ marketplaces monitored
- Instant Slack/Teams alerts
Supply-chain 0-days Exploited < 72h
Zero-day vulnerabilities in popular business software are weaponized and deployed rapidly against organizations.
Recent Exploits
- MOVEit Transfer attacks
- ScreenConnect vulnerabilities
- ConnectWise & Ivanti exploits
Rapid Response
- Exploit-forum monitoring
- Client IP-space scanning
- EDR rules deployed within hours
Ransomware Re-entry (Towell Case)
Organizations getting breached multiple times by the same threat actors due to persistent access and credential reuse.
Pattern Analysis
- Same org breached twice in 10 months
- Persistent access maintained
- Credential reuse attacks
Proactive Tracking
- Access-broker seller ID tracking
- Auto-quarantine of re-sold creds
- MDR team immediate response
Web-shell Persistence
Backdoors planted on web servers maintain long-term access for threat actors, often going undetected for months.
Persistent Threats
- Termite & Sarcoma ASPX shells
- Generic backdoor deployment
- Long-term undetected access
Continuous Monitoring
- Integrity-hash audits every 30 min
- Automatic deviation rollback
- Immediate SOC alerts
Board-level Risk Visibility
Executives need clear metrics and compliance documentation to satisfy regulatory requirements and demonstrate security ROI.
Regulatory Pressure
- New Omani PDPL fines (Feb 2025)
- 2% turnover penalty cap
- Audit trail requirements
Compliance Ready
- Loss-avoidance KPI exports
- Documented threat prevention
- Executive dashboards
Complete 2024/25 Threat Coverage
NeoIntelligence provides comprehensive solutions for all five critical security gaps identified in our threat analysis, ensuring your organization stays ahead of the evolving cyber threat landscape.
Key Takeaways for 2025
Critical actions for cybersecurity leaders
Ransomware leak-site listings for Oman jumped 100% YoY in 2024 and show no sign of retreat despite LockBit's internal leak.
Info-stealer infections are the silent driver – roughly one Omani device in every 800 currently has corporate creds up for sale.
Attackers are moving faster: median time from CVE drop to mass exploitation is now 48 hours.
2024 shattered previous records with at least 6 distinct Omani brands hit by ransomware.
240+ .om domains appeared in Lumma logs between Jan–May 2025
27% of compromised Omani corporate emails belong to IT-admin or finance roles, giving ransomware crews turnkey access.
Protect Your Organization Today
Based on 2024 analysis, NeoIntelligence could have prevented $10-12M in losses across Oman's top organizations. Don't wait for the next attack.