ABUSE.MOM
THREAT REPORT

IP Threat Report
102.203.209.17

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-07-29 19:40:10
First seen: 2026-06-17 00:35:09
Last seen: 2026-06-21 17:44:03
60

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 60/100. Total malicious requests observed: 501.

01

Geolocation & Classification

IP Address
102.203.209.17
Type
Residential
Country
🇺🇬 UG
City
Kampala
ISP
Savanna Fibre Limited
Organization
public -2 2025
Autonomous System
AS329415 Savanna Fibre Limited
Hit Count
501
02

Detection Signatures

SignatureDescriptionPointsSeverity
Directory ScanBehavioral anomaly detected by automated analysis+0
Σ = 0
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

2026-06-17 00:35:09
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
Directory Scan
2026-06-21 17:44:03
Last malicious request observed
Total score reached: 60/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

Savanna Fibre Limited
AS329415 · 🇺🇬 UG
06

Recommendations

Actions taken & recommended

  • IP 102.203.209.17 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 102.203.209.0/24
  • Report abuse to the network provider via their abuse contact
  • Ensure sensitive files (.env, .git, backups) are not accessible from the web

⚙️ Defensive Recommendations

Block 102.203.209.17 at the network perimeter. Implement defense-in-depth combining IP blocking with application-layer protections.

07

Neighbors in 102.203.209.0/24

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

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

10

Threat Analysis

102.203.209.17 has been assigned a threat score of 60/100 (High). This classifies it as a high-severity threat. Proactive blocking is recommended for sensitive infrastructure.

📊 Threat Analysis

Network traffic from 102.203.209.17, located in Kampala, UG, operating on the network of Savanna Fibre Limited, has been classified as malicious by our automated threat scoring engine. The address has been active for 4 days in our monitoring system, producing 501 flagged requests at a rate of ~125.3/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. Our records show 28 malicious IPs originating from UG, positioning it as a notable contributor to global threat activity. The score of 60/100 warrants active monitoring and rate-limiting. Full blocking is advisable for sensitive systems.

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 UG

196.43.154.20 (168)102.218.38.162 (128)196.43.154.22 (103)102.134.149.157 (103)102.209.111.94 (103)View all →

🏢 Same network: AS329415

View all →
12

Security Intelligence

💡 Privacy-Preserving Threat Detection

Advanced techniques enable threat detection while minimizing privacy impact. Encrypted DNS, differential privacy in analytics, and federated learning for threat models allow effective security monitoring without unnecessary surveillance of legitimate user behavior.

💡 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.

🔍 Check Any IP Address

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