ABUSE.MOM
THREAT REPORT

IP Threat Report
34.162.112.167

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-07-29 04:55:52
First seen: 2026-06-10 00:20:03
Last seen: 2026-06-26 11:46:14
120

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 120/100. Total malicious requests observed: 320.

01

Geolocation & Classification

IP Address
34.162.112.167
Type
Unknown
Country
🇺🇸 United States
City
Columbus
ISP
Google LLC
Organization
Google LLC
Autonomous System
Unknown
Hit Count
320
02

Detection Signatures

SignatureDescriptionPointsSeverity
Directory ScanBehavioral anomaly detected by automated analysis+0
DDoS / FloodBehavioral anomaly detected by automated analysis+0
Σ = 0
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

2026-06-10 00:20:03
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
Directory Scan, DDoS / Flood
2026-06-26 11:46:14
Last malicious request observed
Total score reached: 120/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
06

Recommendations

Actions taken & recommended

  • IP 34.162.112.167 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 34.162.112.0/24
  • Ensure sensitive files (.env, .git, backups) are not accessible from the web

⚙️ General Security

Add 34.162.112.167 to your firewall blocklist. Review logs for successful connections. Enable comprehensive logging on all public-facing services.

07

Neighbors in 34.162.112.0/24

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

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

10

Threat Analysis

34.162.112.167 has been assigned a threat score of 120/100 (Critical). This places it in the critical threat category. Immediate blocking is strongly advised across all network perimeters.

📊 Threat Analysis

IP address 34.162.112.167 has been traced to Columbus, United States, operating on the network of Google LLC. Our threat detection systems have flagged this address based on observed malicious behavior patterns. Our sensors captured 320 malicious requests from this address across a 16-day span, reflecting a sustained attack cadence of ~20 requests per day. Our records show 104 malicious IPs originating from United States, positioning it as a significant contributor to global threat activity. With a threat score of 120/100, this IP is among the most dangerous addresses in our database. Immediate and complete blocking is strongly recommended.

11

Related Threats

🇺🇸 Top threats from United States

104.28.246.115 (350)104.28.214.122 (350)103.215.74.213 (340)103.168.66.237 (340)34.187.158.4 (340)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.

💡 Automated Incident Response

Automated response systems can block threats in milliseconds, far faster than human analysts. However, automation requires careful safeguards — rate limits on blocking actions, automatic expiration, and human review queues prevent automated systems from causing self-inflicted outages.

🔍 Check Any IP Address

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