ABUSE.MOM
THREAT REPORT

IP Threat Report
94.243.9.195

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-27 08:56:04
First seen: 2026-02-23 12:00:05
Last seen: 2026-02-23 12:00:05
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
94.243.9.195
Type
Residential
Country
🇷🇺 Russia
City
Tyumen
ISP
MKS75 Network
Organization
Unknown
Autonomous System
AS8359 MTS PJSC
Hit Count
1
02

Detection Signatures

SignatureDescriptionPointsSeverity
Burst: 32 req / 2sAbnormally fast request rate — automated scanning+35
Burst: 32 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

2026-02-23 12:00:05
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
Burst: 32 req / 2s (+35), Burst: 32 req / 10s (+35), Foreign referer seen (+10)
2026-02-23 12:00:05
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

MKS75 Network
AS8359 · 🇷🇺 Russia
06

Recommendations

Actions taken & recommended

  • IP 94.243.9.195 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 94.243.9.0/24
  • 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 94.243.9.195 is generating excessive traffic. Limit connections per source IP. Enable geographic blocking if traffic from this region is unexpected.

07

Neighbors in 94.243.9.0/24

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.

⛔ LISTED
Spamhaus ZEN

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

10

Threat Analysis

94.243.9.195 has been assigned a threat score of 80/100 (Critical). With this rating, the IP falls into the critical severity bracket — among the most dangerous addresses in our monitoring database.

The following attack categories were identified:

Request Flooding

📊 Threat Analysis

IP address 94.243.9.195 has been traced to Tyumen, Russia, operating on the network of MKS75 Network. Our threat detection systems have flagged this address based on observed malicious behavior patterns. Over a period of 1 days, this IP generated 1 malicious requests, averaging approximately 1 requests per day. This is a residential IP address, suggesting a compromised home device such as a router, smart appliance, or infected workstation participating in a botnet. The IP is engaged in request flooding, sending traffic at rates designed to exhaust server capacity. Russia currently accounts for 138 blocked IPs in our database, making it a significant source of malicious traffic. At 80/100, 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 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: AS8359

94.77.146.169 (153)94.77.145.124 (118)80.80.108.36 (105)94.77.165.112 (103)94.77.163.207 (103)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

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