ABUSE.MOM
THREAT REPORT

IP Threat Report
217.174.96.3

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-22 11:15:05
First seen: 2026-05-12 15:00:05
Last seen: 2026-05-12 15:00:05
70

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 70/100. Total malicious requests observed: 1.

BURST
01

Geolocation & Classification

IP Address
217.174.96.3
Type
Residential
Country
🇷🇺 Russia
City
Moscow
ISP
e-Style ISP LLC
Organization
Estt
Autonomous System
AS20655 e-Style ISP LLC
Hit Count
1
02

Detection Signatures

SignatureDescriptionPointsSeverity
Burst: 33 req / 2sAbnormally fast request rate — automated scanning+35
Burst: 33 req / 10sAbnormally 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

2026-05-12 15:00:05
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
Burst: 33 req / 2s (+35), Burst: 33 req / 10s (+35)
2026-05-12 15:00:05
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

e-Style ISP LLC
AS20655 · 🇷🇺 Russia
06

Recommendations

Actions taken & recommended

  • IP 217.174.96.3 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 217.174.96.3 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.

⛔ LISTED
b.barracudacentral.org
✓ Clean
dnsbl.sorbs.net
✓ Clean
ix.dnsbl.manitu.net
✓ Clean
zen.spamhaus.org
✓ Clean
bl.spamcop.net
✓ Clean
truncate.gbudb.net
✓ Clean
psbl.surriel.com
✓ Clean
dnsbl-1.uceprotect.net

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

10

Threat Analysis

217.174.96.3 has been assigned a threat score of 70/100 (High). The IP is rated as a high-level threat. Network administrators should implement blocking rules and monitor for any connections from this address.

The following attack categories were identified:

Request Flooding

📊 Threat Analysis

217.174.96.3 is registered in Moscow, Russia, operating on the network of e-Style ISP LLC. This IP first appeared in our threat feeds after triggering multiple behavioral detection signatures. Our sensors captured 1 malicious requests from this address across a 1-day span, reflecting a sustained attack cadence of ~1 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 IP is engaged in request flooding, sending traffic at rates designed to exhaust server capacity. A threat score of 70/100 places this IP in the high-risk category. Blocking at the firewall level is recommended.

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

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🏢 Same network: AS20655

46.21.82.154 (85)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.

💡 Behavioral Analysis vs Signature Detection

Signature-based detection matches known attack patterns but misses novel threats. Behavioral analysis identifies anomalies in request patterns, timing, and volume, catching zero-day attacks that signatures cannot recognize.

🔍 Check Any IP Address

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