ABUSE.MOM
THREAT REPORT

IP Threat Report
34.162.16.91

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-22 07:17:17
First seen: 2026-04-23 21:00:05
Last seen: 2026-04-24 01:00:06
180

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 180/100. Total malicious requests observed: 5.

UA_CHANGEDDANGER_PATHBURSTREFERERRATIO_404REDIRECT_PROBE
01

Geolocation & Classification

IP Address
34.162.16.91
Type
Hosting
Country
🇺🇸 United States
City
Columbus
ISP
Google LLC
Organization
Google Cloud (us-east5)
Autonomous System
AS396982 Google LLC
Hit Count
5
02

Detection Signatures

SignatureDescriptionPointsSeverity
UA changed for same IPMultiple User-Agents — bot rotation technique+25
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
Foreign referer seenReferer from unrelated external domain+10
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
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
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

2026-04-23 21:00:05
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: 6 (+60), Burst: 19 req / 2s (+35)
2026-04-24 01:00:06
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 34.162.16.91 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 34.162.16.0/24
  • 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 34.162.16.91 shows suspicious UA behavior. Block empty User-Agent requests. Implement JavaScript-based bot detection for sensitive endpoints.

🌊 Flood / DDoS Mitigation

Implement limit_req_zone in nginx. Deploy CDN with DDoS protection. Configure SYN cookies and connection tracking to throttle 34.162.16.91.

🔎 Path Enumeration Protection

Block scanning from 34.162.16.91: rate-limit 404 responses per IP, deploy a honeypot 404 page, ensure no backup files are web-accessible.

07

Neighbors in 34.162.16.0/24

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
dnsbl-1.uceprotect.net
✓ Clean
b.barracudacentral.org
✓ Clean
truncate.gbudb.net
✓ Clean
psbl.surriel.com

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

10

Threat Analysis

34.162.16.91 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 AnomalyRequest FloodingPath Enumeration

📊 Threat Analysis

Our monitoring infrastructure has identified 34.162.16.91, geolocated to Columbus, United States, operating on the network of Google LLC, as a source of suspicious network activity. The address has been active for 1 days in our monitoring system, producing 5 flagged requests at a rate of ~5/day. The IP is classified as hosting/datacenter infrastructure, commonly associated with rented servers used for automated attack campaigns, botnet command-and-control, or vulnerability scanning at scale. The combination of 3 distinct attack vectors indicates a sophisticated, multi-pronged threat actor deploying automated tools that probe multiple attack surfaces simultaneously. With 145 flagged addresses, United States represents a significant presence in our threat database. With a threat score of 180/100, this IP is among the most dangerous addresses in our database. Immediate and complete blocking is strongly recommended.

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)34.22.208.175 (285)34.166.187.0 (285)34.128.70.180 (285)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.

💡 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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