ABUSE.MOM
THREAT REPORT

IP Threat Report
143.105.155.249

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-30 07:26:45
First seen: 2026-03-15 13:00:05
Last seen: 2026-03-15 13:00:05
103

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 103/100. Total malicious requests observed: 1.

DANGER_PATHMETHOD
01

Geolocation & Classification

IP Address
143.105.155.249
Type
Residential
Country
🇸🇿 SZ
City
Mbabane
ISP
Space Exploration Technologies Corporation
Organization
SpaceX Starlink
Autonomous System
AS14593 Space Exploration Technologies Corporation
Hit Count
1
02

Detection Signatures

SignatureDescriptionPointsSeverity
Danger strong hits: 3High-risk paths: shells, RCE vectors, exploits+75
Danger medium hits: 2Medium-risk: admin panels, config files+20
POST requests presentBehavioral anomaly detected by automated analysis+8
Σ = 103
03

Observed Activity

Reconstructed HTTP requests from server access logs. Target domains redacted for security.

[redacted]
GET
/
200
Requests shown: 1 · HTTP 404: 0 · Dangerous patterns: 0

* Typical request patterns for detected signatures. Actual target domains are redacted.

04

Timeline

2026-03-15 13:00:05
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
Danger strong hits: 3 (+75), Danger medium hits: 2 (+20), POST requests present (+8)
2026-03-15 13:00:05
Last malicious request observed
Total score reached: 103/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

Space Exploration Technologies Corporation
AS14593 · 🇸🇿 SZ
06

Recommendations

Actions taken & recommended

  • IP 143.105.155.249 is blocked at application level (HTTP 403)
  • Consider blocking at firewall level (iptables/CSF) to reduce server load
  • Other malicious IPs detected in the same /24 subnet — consider blocking 143.105.155.0/24
  • Report abuse to the network provider via their abuse contact
  • Ensure sensitive files (.env, .git, backups) are not accessible from the web

⚙️ General Security

Add 143.105.155.249 to your firewall blocklist. Review logs for successful connections. Enable comprehensive logging on all public-facing services.

07

Neighbors in 143.105.155.0/24

Other blocked IPs from the same /24 subnet — indicates systematic abuse from this network range.

09

Blacklist Status (DNSBL)

This IP was checked against major DNS-based blacklists used by mail servers and firewalls worldwide.

⛔ LISTED
Spamhaus ZEN

Checked: Spamhaus, SpamCop, Barracuda, SORBS, CBL, UCEProtect. Results may change over time.

10

Threat Analysis

143.105.155.249 has been assigned a threat score of 103/100 (Critical). This places it in the critical threat category. Immediate blocking is strongly advised across all network perimeters.

📊 Threat Analysis

Our monitoring infrastructure has identified 143.105.155.249, geolocated to Mbabane, SZ, operating on the network of Space Exploration Technologies Corporation, as a source of suspicious network activity. Our sensors captured 1 malicious requests from this address across a 1-day span, reflecting a sustained attack cadence of ~1 requests per day. Operating from a residential network, this IP may represent a compromised home gateway or IoT device that has been drafted into a larger attack infrastructure. With a threat score of 103/100, this IP is among the most dangerous addresses in our database. Immediate and complete blocking is strongly recommended.

This IP is classified as residential, suggesting it may belong to a compromised home device, IoT botnet member, or an infected personal computer. Residential IPs involved in attacks often indicate malware infection without the owner's knowledge.

11

Related Threats

🇸🇿 Top threats from SZ

143.105.155.252 (103)143.105.155.6 (103)143.105.155.101 (103)View all →

🏢 Same network: AS14593

74.244.197.46 (168)143.105.103.35 (163)143.105.152.127 (140)216.234.213.20 (128)143.105.152.86 (120)View all →
12

Security Intelligence

💡 Credential Stuffing at Scale

Credential stuffing uses stolen username-password pairs from data breaches to attempt logins across many websites. Since users frequently reuse passwords, these automated attacks achieve success rates of 0.1-2%, which translates to thousands of compromised accounts from millions of attempts.

💡 Machine Learning in Threat Detection

Machine learning models analyze vast amounts of network traffic to identify attack patterns invisible to rule-based systems. Supervised models classify known attack types while unsupervised models detect anomalies that may indicate novel threats.

🔍 Check Any IP Address

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