ABUSE.MOM
THREAT REPORT

IP Threat Report
45.11.95.125

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-27 20:52:16
First seen: 2026-03-06 13:00:05
Last seen: 2026-03-06 13:00:05
80

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 80/100. Total malicious requests observed: 1.

BURSTREFERER
01

Geolocation & Classification

IP Address
45.11.95.125
Type
Residential
Country
🇷🇺 Russia
City
Moscow
ISP
Delta Ltd
Organization
IT Outsourcing LLC
Autonomous System
AS213220 Delta Ltd
Hit Count
1
02

Detection Signatures

SignatureDescriptionPointsSeverity
Burst: 16 req / 2sAbnormally fast request rate — automated scanning+35
Burst: 16 req / 10sAbnormally fast request rate — automated scanning+35
Foreign referer seenReferer from unrelated external domain+10
Σ = 80
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

2026-03-06 13:00:05
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
Burst: 16 req / 2s (+35), Burst: 16 req / 10s (+35), Foreign referer seen (+10)
2026-03-06 13:00:05
Last malicious request observed
Total score reached: 80/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

Delta Ltd
AS213220 · 🇷🇺 Russia
06

Recommendations

Actions taken & recommended

  • IP 45.11.95.125 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

🌊 Traffic Flood Defense

IP 45.11.95.125 is generating excessive traffic. Limit connections per source IP. Enable geographic blocking if traffic from this region is unexpected.

09

Blacklist Status (DNSBL)

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

✓ Clean
Spamhaus ZEN

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

10

Threat Analysis

45.11.95.125 has been assigned a threat score of 80/100 (Critical). This is a critical-level threat. Systems administrators should treat this IP as hostile and block all inbound connections without exception.

The following attack categories were identified:

Request Flooding

📊 Threat Analysis

The address 45.11.95.125 originates from Moscow, Russia, operating on the network of Delta Ltd. It was identified through automated analysis of incoming network traffic across monitored endpoints. Over a period of 1 days, this IP generated 1 malicious requests, averaging approximately 1 requests per 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. The IP is engaged in request flooding, sending traffic at rates designed to exhaust server capacity. Our records show 104 malicious IPs originating from Russia, positioning it as a significant contributor to global threat activity. The score of 80/100 indicates a confirmed malicious actor. Network-level blocking is appropriate.

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 Russia

157.22.102.172 (313)178.130.54.159 (288)72.56.191.6 (265)95.182.125.201 (265)91.240.87.225 (263)View all →

🏢 Same network: AS213220

45.131.186.105 (140)95.182.110.93 (103)45.151.182.26 (95)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.

💡 Machine Learning in Threat Detection

Machine learning models analyze vast amounts of network traffic to identify attack patterns invisible to rule-based systems. Supervised models classify known attack types while unsupervised models detect anomalies that may indicate novel threats.

🔍 Check Any IP Address

Share this report: