ABUSE.MOM
THREAT REPORT

IP Threat Report
149.102.158.103

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-07-30 00:25:14
First seen: 2026-07-06 17:31:52
Last seen: 2026-07-12 00:56:51
75

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 75/100. Total malicious requests observed: 204.

BOT_UAREFERERUA_CHANGED
01

Geolocation & Classification

IP Address
149.102.158.103
Type
Hosting
Country
🇬🇧 United Kingdom
City
Portsmouth
ISP
Contabo GmbH
Organization
Contabo GmbH
Autonomous System
AS51167 Contabo GmbH
Hit Count
204
02

Detection Signatures

SignatureDescriptionPointsSeverity
Foreign refererReferer from unrelated external domain+10
UA bot: Go-http-clientKnown bot/crawler User-Agent detected+40
UA changedMultiple User-Agents — bot rotation technique+25
Σ = 75
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

2026-07-06 17:31:52
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
Foreign referer (+10), UA bot: Go-http-client (+40), UA changed (+25)
2026-07-12 00:56:51
Last malicious request observed
Total score reached: 75/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

Contabo GmbH
AS51167 · 🇬🇧 United Kingdom
06

Recommendations

Actions taken & recommended

  • IP 149.102.158.103 is blocked at application level (HTTP 403)
  • Consider blocking at firewall level (iptables/CSF) to reduce server load
  • Report abuse to the network provider via their abuse contact
  • Ensure sensitive files (.env, .git, backups) are not accessible from the web

🤖 Bot Detection

Address UA spoofing from 149.102.158.103: maintain blocklist of known malicious UA strings, require consistent UA across sessions, implement TLS fingerprinting.

09

Blacklist Status (DNSBL)

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

✓ Clean
bl.blocklist.de
✓ Clean
b.barracudacentral.org
✓ Clean
zen.spamhaus.org
✓ Clean
psbl.surriel.com

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

10

Threat Analysis

149.102.158.103 has been assigned a threat score of 75/100 (High). This classifies it as a high-severity threat. Proactive blocking is recommended for sensitive infrastructure.

The following attack categories were identified:

User-Agent Anomaly

📊 Threat Analysis

The address 149.102.158.103 originates from Portsmouth, United Kingdom, operating on the network of Contabo GmbH. It was identified through automated analysis of incoming network traffic across monitored endpoints. Our sensors captured 204 malicious requests from this address across a 5-day span, reflecting a sustained attack cadence of ~40.8 requests per day. Operating from datacenter infrastructure, this IP is typical of addresses used in organized attack operations. Cloud and VPS providers are commonly exploited as launching platforms for automated scanning. The IP exhibits User-Agent manipulation, switching between different browser identities or sending empty headers. A threat score of 75/100 places this IP in the high-risk category. Blocking at the firewall level is recommended.

This IP belongs to a hosting or data center provider. Malicious traffic from hosting infrastructure often originates from compromised VPS instances, rented servers used for scanning campaigns, or abused free-tier cloud accounts. Hosting providers typically respond to abuse reports within 24-72 hours.

11

Related Threats

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12

Security Intelligence

💡 User-Agent Analysis Techniques

Analyzing User-Agent strings reveals automated tools masquerading as legitimate browsers. Inconsistencies between claimed browser capabilities and actual behavior, impossible version combinations, and known scanner signatures help identify malicious clients.

💡 Content Delivery Network Risks

CDNs can inadvertently mask the true origin of malicious traffic, making attribution difficult. Attackers abuse CDN services to proxy their attacks, leverage cached content for amplification, and exploit misconfigurations in CDN-to-origin connections.

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