ABUSE.MOM
THREAT REPORT

IP Threat Report
62.12.117.25

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-07-30 02:22:05
First seen: 2026-07-02 09:32:00
Last seen: 2026-07-05 04:01:57
75

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 75/100. Total malicious requests observed: 84.

BOT_UAREFERERUA_CHANGED
01

Geolocation & Classification

IP Address
62.12.117.25
Type
Residential
Country
🇰🇪 KE
City
Nairobi
ISP
Angani - KE
Organization
Hosted Services
Autonomous System
AS37684 Angani Limited
Hit Count
84
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

2026-07-02 09:32:00
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)
2026-07-05 04:01:57
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

Angani - KE
AS37684 · 🇰🇪 KE
06

Recommendations

Actions taken & recommended

  • IP 62.12.117.25 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 62.12.117.25: 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
zen.spamhaus.org
✓ Clean
bl.spamcop.net
✓ Clean
b.barracudacentral.org
✓ Clean
psbl.surriel.com
✓ Clean
spam.dnsbl.sorbs.net
✓ Clean
dnsbl.dronebl.org

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

10

Threat Analysis

62.12.117.25 has been assigned a threat score of 75/100 (High). The IP is rated as a high-level threat. Network administrators should implement blocking rules and monitor for any connections from this address.

The following attack categories were identified:

User-Agent Anomaly

📊 Threat Analysis

Network traffic from 62.12.117.25, located in Nairobi, KE, operating on the network of Angani - KE, has been classified as malicious by our automated threat scoring engine. The address has been active for 2 days in our monitoring system, producing 84 flagged requests at a rate of ~42/day. This residential IP is likely a compromised consumer device. Home routers and IoT equipment with default credentials are prime targets for botnet operators. The IP exhibits User-Agent manipulation, switching between different browser identities or sending empty headers. KE currently accounts for 103 blocked IPs in our database, making it a significant source of malicious traffic. At 75/100, this IP warrants immediate defensive action.

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 KE

203.188.189.51 (255)203.188.189.49 (255)102.212.246.179 (240)41.139.215.121 (173)102.212.237.142 (130)View all →

🏢 Same network: AS37684

View all →
12

Security Intelligence

💡 HTTP Header Analysis for Threat Detection

Examining HTTP headers beyond User-Agent reveals attack tools and automated scripts. Missing standard headers, unusual ordering, non-standard values, and inconsistencies with claimed client identity all serve as reliable detection signals.

💡 Submarine Cable and Internet Exchange Points

Internet traffic routing through a limited number of submarine cables and exchange points creates natural chokepoints. Understanding these routing patterns helps explain geographic clustering of certain attack types and latency-based scanning behaviors.

🔍 Check Any IP Address

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