ABUSE.MOM
THREAT REPORT

IP Threat Report
34.144.185.195

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-26 23:10:37
First seen: 2026-05-05 19:00:07
Last seen: 2026-05-05 22:00:08
180

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 180/100. Total malicious requests observed: 3.

UA_CHANGEDDANGER_PATHRATIO_404REDIRECT_PROBEBURSTREFERER
01

Geolocation & Classification

IP Address
34.144.185.195
Type
Hosting
Country
🇺🇸 United States
City
Columbus
ISP
Google LLC
Organization
Google Cloud (us-east5)
Autonomous System
AS396982 Google LLC
Hit Count
3
02

Detection Signatures

SignatureDescriptionPointsSeverity
UA changed for same IPMultiple User-Agents — bot rotation technique+25
Danger medium hits: 4Medium-risk: admin panels, config files+40
404 ratio 40-60%Majority of requests returned 404 — enumeration+15
Probe pattern 302->404 same pathBehavioral anomaly detected by automated analysis+20
Burst: 14 req / 2sAbnormally fast request rate — automated scanning+35
Burst: 14 req / 10sAbnormally fast request rate — automated scanning+35
Foreign referer seenReferer from unrelated external domain+10
Danger medium hits: 6Medium-risk: admin panels, config files+60
Burst: 19 req / 2sAbnormally fast request rate — automated scanning+35
Burst: 21 req / 10sAbnormally fast request rate — automated scanning+35
Danger medium hits: 2Medium-risk: admin panels, config files+20
404 ratio >= 60%Majority of requests returned 404 — enumeration+25
Burst: 7 req / 2sAbnormally fast request rate — automated scanning+35
Σ = 390
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

2026-05-05 19:00:07
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
UA changed for same IP (+25), Danger medium hits: 4 (+40), 404 ratio 40-60% (+15)
2026-05-05 22:00:08
Last malicious request observed
Total score reached: 180/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

Google LLC
AS396982 · 🇺🇸 United States
06

Recommendations

Actions taken & recommended

  • IP 34.144.185.195 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 34.144.185.0/24
  • Report abuse to the network provider via their abuse contact
  • Ensure sensitive files (.env, .git, backups) are not accessible from the web

🤖 User-Agent Anomaly Defense

IP 34.144.185.195 shows suspicious UA behavior. Block empty User-Agent requests. Implement JavaScript-based bot detection for sensitive endpoints.

🔎 Path Enumeration Protection

Block scanning from 34.144.185.195: rate-limit 404 responses per IP, deploy a honeypot 404 page, ensure no backup files are web-accessible.

🌊 Traffic Flood Defense

IP 34.144.185.195 is generating excessive traffic. Limit connections per source IP. Enable geographic blocking if traffic from this region is unexpected.

07

Neighbors in 34.144.185.0/24

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
ix.dnsbl.manitu.net
✓ Clean
dnsbl.sorbs.net
✓ Clean
bl.spamcop.net
✓ Clean
zen.spamhaus.org
✓ Clean
b.barracudacentral.org
✓ 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

34.144.185.195 has been assigned a threat score of 180/100 (Critical). This represents a critical risk level. Our detection systems have flagged multiple high-confidence indicators of malicious intent from this address.

The following attack categories were identified:

User-Agent AnomalyPath EnumerationRequest Flooding

📊 Threat Analysis

34.144.185.195 is registered in Columbus, United States, operating on the network of Google LLC. This IP first appeared in our threat feeds after triggering multiple behavioral detection signatures. Our sensors captured 3 malicious requests from this address across a 1-day span, reflecting a sustained attack cadence of ~3 requests per day. Classified as a hosting IP, this address likely runs on a rented server or cloud instance. Attackers prefer datacenter IPs for their high bandwidth and disposable nature. The diversity of 3 separate attack methods suggests a comprehensive attack toolkit — likely an automated scanner that tests for vulnerabilities across multiple categories. Our records show 143 malicious IPs originating from United States, positioning it as a significant contributor to global threat activity. At 180/100, this is an extremely high-risk address. All traffic should be considered hostile.

This IP belongs to a hosting or data center provider. Malicious traffic from hosting infrastructure often originates from compromised VPS instances, rented servers used for scanning campaigns, or abused free-tier cloud accounts. Hosting providers typically respond to abuse reports within 24-72 hours.

11

Related Threats

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🏢 Same network: AS396982

34.187.158.4 (340)34.186.187.208 (340)34.136.84.236 (288)35.254.215.135 (288)35.243.110.60 (288)View all →
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.

💡 Privacy-Preserving Threat Detection

Advanced techniques enable threat detection while minimizing privacy impact. Encrypted DNS, differential privacy in analytics, and federated learning for threat models allow effective security monitoring without unnecessary surveillance of legitimate user behavior.

🔍 Check Any IP Address

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