ABUSE.MOM
THREAT REPORT

IP Threat Report
105.163.2.26

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-07-30 01:14:56
First seen: 2026-07-24 13:00:51
Last seen: 2026-07-26 04:07:08
70

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 70/100. Total malicious requests observed: 76.

BURST
01

Geolocation & Classification

IP Address
105.163.2.26
Type
Mobile
Country
🇰🇪 KE
City
Nairobi
ISP
Safaricom Limited
Organization
Safaricom Limited
Autonomous System
AS33771 Safaricom Limited
Hit Count
76
02

Detection Signatures

SignatureDescriptionPointsSeverity
Burst 19/10sAbnormally fast request rate — automated scanning+35
Burst 6/2sAbnormally fast request rate — automated scanning+35
Σ = 70
03

Observed Activity

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

[redacted]
GET
/
200
[redacted]
GET
/page
200
Requests shown: 2 · HTTP 404: 0 · Dangerous patterns: 0

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

04

Timeline

2026-07-24 13:00:51
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
Burst 19/10s (+35), Burst 6/2s (+35)
2026-07-26 04:07:08
Last malicious request observed
Total score reached: 70/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

Safaricom Limited
AS33771 · 🇰🇪 KE
06

Recommendations

Actions taken & recommended

  • IP 105.163.2.26 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 105.163.2.0/24
  • Report abuse to the network provider via their abuse contact
  • Ensure sensitive files (.env, .git, backups) are not accessible from the web

🌊 Flood / DDoS Mitigation

Implement limit_req_zone in nginx. Deploy CDN with DDoS protection. Configure SYN cookies and connection tracking to throttle 105.163.2.26.

07

Neighbors in 105.163.2.0/24

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.

✓ Clean
bl.spamcop.net
✓ Clean
dnsbl.dronebl.org
✓ Clean
spam.dnsbl.sorbs.net
✓ Clean
zen.spamhaus.org
✓ Clean
bl.blocklist.de
✓ Clean
psbl.surriel.com
✓ Clean
b.barracudacentral.org
✓ Clean
cbl.abuseat.org

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

10

Threat Analysis

105.163.2.26 has been assigned a threat score of 70/100 (High). This classifies it as a high-severity threat. Proactive blocking is recommended for sensitive infrastructure.

The following attack categories were identified:

Request Flooding

📊 Threat Analysis

Network traffic from 105.163.2.26, located in Nairobi, KE, operating on the network of Safaricom Limited, has been classified as malicious by our automated threat scoring engine. The address has been active for 1 days in our monitoring system, producing 76 flagged requests at a rate of ~76/day. This is a mobile network IP. While mobile addresses are typically shared via CGNAT, persistent malicious activity from this specific address suggests automated abuse. Rate-based attacks from this IP aim to overwhelm server resources through high-volume request flooding. KE currently accounts for 103 blocked IPs in our database, making it a significant source of malicious traffic. A threat score of 70/100 places this IP in the high-risk category. Blocking at the firewall level is recommended.

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: AS33771

105.160.86.35 (78)View all →
12

Security Intelligence

💡 DDoS Mitigation Approaches

Distributed denial of service attacks overwhelm infrastructure with traffic volume. Effective mitigation combines always-on traffic scrubbing, anycast network distribution, rate limiting, and the ability to quickly scale absorption capacity during attacks.

💡 Vulnerability Scanning Explained

Vulnerability scanning is the automated process of probing web applications for known weaknesses. Attackers use tools like Nuclei, Nikto, and ZAP to test thousands of hosts per hour, looking for exposed configuration files, outdated software, and default credentials.

🔍 Check Any IP Address

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