ABUSE.MOM
THREAT REPORT

IP Threat Report
34.29.142.137

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-22 12:06:39
First seen: 2026-03-01 13:00:06
Last seen: 2026-03-01 13:00:06
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
34.29.142.137
Type
Hosting
Country
🇺🇸 United States
City
Council Bluffs
ISP
Google LLC
Organization
Google Cloud (us-central1)
Autonomous System
AS396982 Google LLC
Hit Count
1
02

Detection Signatures

SignatureDescriptionPointsSeverity
Burst: 8 req / 2sAbnormally fast request rate — automated scanning+35
Burst: 18 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

2026-03-01 13:00:06
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
Burst: 8 req / 2s (+35), Burst: 18 req / 10s (+35)
2026-03-01 13:00:06
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

Google LLC
AS396982 · 🇺🇸 United States
06

Recommendations

Actions taken & recommended

  • IP 34.29.142.137 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 34.29.142.137 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
Spamhaus ZEN

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

10

Threat Analysis

34.29.142.137 has been assigned a threat score of 70/100 (High). This classifies it as a high-severity threat. Proactive blocking is recommended for sensitive infrastructure.

The following attack categories were identified:

Request Flooding

📊 Threat Analysis

IP address 34.29.142.137 has been traced to Council Bluffs, United States, operating on the network of Google LLC. Our threat detection systems have flagged this address based on observed malicious behavior patterns. Over a period of 1 days, this IP generated 1 malicious requests, averaging approximately 1 requests per day. Operating from datacenter infrastructure, this IP is typical of addresses used in organized attack operations. Cloud and VPS providers are commonly exploited as launching platforms for automated scanning. The IP is engaged in request flooding, sending traffic at rates designed to exhaust server capacity. With 142 flagged addresses, United States represents a significant presence in our threat database. At 70/100, this IP warrants immediate defensive action.

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

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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.

💡 CAPTCHA and Bot Detection

CAPTCHAs remain a primary bot defense but face increasing bypass rates from AI-powered solvers. Modern alternatives include invisible behavioral analysis, proof-of-work challenges, and device fingerprinting that detect bots without impacting user experience.

🔍 Check Any IP Address

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