ABUSE.MOM
THREAT REPORT

IP Threat Report
31.76.244.121

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-30 12:05:59
First seen: 2026-05-22 14:55:15
Last seen: 2026-05-24 09:59:58
195

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 195/100. Total malicious requests observed: 62.

BURSTDANGER_PATHUA_CHANGED
01

Geolocation & Classification

IP Address
31.76.244.121
Type
Residential
Country
🇬🇧 United Kingdom
City
Martlesham
ISP
EE Limited
Organization
EE Limited
Autonomous System
Unknown
Hit Count
62
02

Detection Signatures

SignatureDescriptionPointsSeverity
Burst 17/2sAbnormally fast request rate — automated scanning+35
Burst 22/10sAbnormally fast request rate — automated scanning+35
Danger strong hits: 19High-risk paths: shells, RCE vectors, exploits+100
UA changedMultiple User-Agents — bot rotation technique+25
Σ = 195
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

2026-05-22 14:55:15
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
Burst 17/2s (+35), Burst 22/10s (+35), Danger strong hits: 19 (+100)
2026-05-24 09:59:58
Last malicious request observed
Total score reached: 195/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
06

Recommendations

Actions taken & recommended

  • IP 31.76.244.121 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 31.76.244.0/24
  • 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 31.76.244.121.

🤖 Bot Detection

Address UA spoofing from 31.76.244.121: maintain blocklist of known malicious UA strings, require consistent UA across sessions, implement TLS fingerprinting.

07

Neighbors in 31.76.244.0/24

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
b.barracudacentral.org
✓ Clean
cbl.abuseat.org
✓ Clean
bl.spamcop.net
✓ Clean
dnsbl.dronebl.org
✓ Clean
bl.blocklist.de

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

10

Threat Analysis

31.76.244.121 has been assigned a threat score of 195/100 (Critical). A score this high marks a critical threat actor. This address has demonstrated persistent, aggressive malicious behavior across multiple detection vectors.

The following attack categories were identified:

Request FloodingUser-Agent Anomaly

📊 Threat Analysis

Network traffic from 31.76.244.121, located in Martlesham, United Kingdom, operating on the network of EE Limited, has been classified as malicious by our automated threat scoring engine. Over a period of 1 days, this IP generated 62 malicious requests, averaging approximately 62 requests per 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 dual attack vectors of Request Flooding combined with User-Agent Anomaly indicate a coordinated assault rather than opportunistic scanning. With 16 flagged addresses, United Kingdom represents a notable presence in our threat database. At 195/100, this is an extremely high-risk address. All traffic should be considered hostile.

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

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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.

💡 Digital Forensics Fundamentals

Digital forensics preserves and analyzes electronic evidence following attacks. Proper chain of custody, forensic imaging, timeline reconstruction, and artifact analysis are essential for understanding attack scope, attribution, and preventing recurrence.

🔍 Check Any IP Address

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