ABUSE.MOM
THREAT REPORT

IP Threat Report
4.15.194.220

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-29 07:27:19
First seen: 2026-03-31 08:00:06
Last seen: 2026-05-29 07:24:47
65

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 65/100. Total malicious requests observed: 1496.

BOT_UAUA_CHANGED
01

Geolocation & Classification

IP Address
4.15.194.220
Type
Residential
Country
🇺🇸 United States
City
Pittsburgh
ISP
Level 3
Organization
Unknown
Autonomous System
AS3356 Level 3 Parent, LLC
Hit Count
1496
02

Detection Signatures

SignatureDescriptionPointsSeverity
UA bot: curlKnown bot/crawler User-Agent detected+40
UA changedMultiple User-Agents — bot rotation technique+25
Σ = 65
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

2026-03-31 08:00:06
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
UA bot: curl (+40), UA changed (+25)
2026-05-29 07:24:47
Last malicious request observed
Total score reached: 65/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

Level 3
AS3356 · 🇺🇸 United States
06

Recommendations

Actions taken & recommended

  • IP 4.15.194.220 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

🤖 Bot Detection

Address UA spoofing from 4.15.194.220: maintain blocklist of known malicious UA strings, require consistent UA across sessions, implement TLS fingerprinting.

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

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

10

Threat Analysis

4.15.194.220 has been assigned a threat score of 65/100 (High). At this threat level, the IP is considered high risk. Firewall rules should be updated to deny traffic from this source.

The following attack categories were identified:

User-Agent Anomaly

📊 Threat Analysis

The address 4.15.194.220 originates from Pittsburgh, United States, operating on the network of Level 3. It was identified through automated analysis of incoming network traffic across monitored endpoints. The address has been active for 58 days in our monitoring system, producing 1,496 flagged requests at a rate of ~25.8/day. The address is classified as residential, meaning it likely belongs to an end-user ISP connection. Malicious activity from residential IPs typically indicates device compromise or botnet membership. The IP exhibits User-Agent manipulation, switching between different browser identities or sending empty headers. United States currently accounts for 172 blocked IPs in our database, making it a significant source of malicious traffic. At 65/100, this IP presents a meaningful threat. Implement rate limiting with escalation to blocking.

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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🏢 Same network: AS3356

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12

Security Intelligence

💡 User-Agent Analysis Techniques

Analyzing User-Agent strings reveals automated tools masquerading as legitimate browsers. Inconsistencies between claimed browser capabilities and actual behavior, impossible version combinations, and known scanner signatures help identify malicious clients.

💡 Memory Safety and Buffer Overflows

Buffer overflow vulnerabilities remain relevant in C/C++ applications despite decades of mitigation efforts. Modern protections like ASLR, stack canaries, and DEP reduce exploitability but determined attackers continue finding bypass techniques.

🔍 Check Any IP Address

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