ABUSE.MOM
THREAT REPORT

IP Threat Report
34.151.116.211

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-10-24 19:55:38
First seen: 2026-09-20 18:35:54
Last seen: 2026-09-27 01:42:47
263

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 263/100. Total malicious requests observed: 2725.

BURSTDANGER_PATHMETHODUA_CHANGED
01

Geolocation & Classification

IP Address
34.151.116.211
Type
Hosting
Country
🇦🇺 Australia
City
Sydney
ISP
Google LLC
Organization
Google Cloud (australia-southeast1)
Autonomous System
AS396982 Google LLC
Hit Count
2725
02

Detection Signatures

SignatureDescriptionPointsSeverity
Burst 29/10sAbnormally fast request rate — automated scanning+35
Burst 31/10sAbnormally fast request rate — automated scanning+35
Burst 32/10sAbnormally fast request rate — automated scanning+35
Burst 8/2sAbnormally fast request rate — automated scanning+35
Burst 9/2sAbnormally fast request rate — automated scanning+35
Danger medium hits: 40Medium-risk: admin panels, config files+60
Danger medium hits: 64Medium-risk: admin panels, config files+60
Danger medium hits: 79Medium-risk: admin panels, config files+60
Danger medium hits: 80Medium-risk: admin panels, config files+60
Danger strong hits: 275High-risk paths: shells, RCE vectors, exploits+100
Danger strong hits: 284High-risk paths: shells, RCE vectors, exploits+100
Danger strong hits: 308High-risk paths: shells, RCE vectors, exploits+100
Danger strong hits: 309High-risk paths: shells, RCE vectors, exploits+100
POST seenBehavioral anomaly detected by automated analysis+8
UA changedMultiple User-Agents — bot rotation technique+25
Σ = 848
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

2026-09-20 18:35:54
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
Burst 29/10s (+35), Burst 31/10s (+35), Burst 32/10s (+35)
2026-09-27 01:42:47
Last malicious request observed
Total score reached: 263/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

Google LLC
AS396982 · 🇦🇺 Australia

We have detected 8214 malicious IPs from this autonomous system.

View all IPs from AS396982 →
06

Recommendations

Actions taken & recommended

  • IP 34.151.116.211 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 34.151.116.0/24
  • Report abuse to the network provider via their abuse contact
  • Ensure sensitive files (.env, .git, backups) are not accessible from the web

🌊 Flood / DDoS Mitigation

Implement limit_req_zone in nginx. Deploy CDN with DDoS protection. Configure SYN cookies and connection tracking to throttle 34.151.116.211.

🤖 User-Agent Anomaly Defense

IP 34.151.116.211 shows suspicious UA behavior. Block empty User-Agent requests. Implement JavaScript-based bot detection for sensitive endpoints.

07

Neighbors in 34.151.116.0/24

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

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

10

Threat Analysis

34.151.116.211 has been assigned a threat score of 263/100 (Critical). A score this high marks a critical threat actor. This address has demonstrated persistent, aggressive malicious behavior across multiple detection vectors.

The following attack categories were identified:

Request FloodingUser-Agent Anomaly

📊 Threat Analysis

Threat intelligence analysis has linked 34.151.116.211 to malicious activity originating from Sydney, Australia, operating on the network of Google LLC. The address has been under observation since its initial detection. Our sensors captured 2,725 malicious requests from this address across a 6-day span, reflecting a sustained attack cadence of ~454.2 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. Two attack patterns were identified (Request Flooding and User-Agent Anomaly), suggesting a semi-automated campaign that targets multiple vulnerabilities. Australia currently accounts for 1,240 blocked IPs in our database, making it a major source of malicious traffic. With a threat score of 263/100, 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

🇦🇺 Top threats from Australia

137.23.3.14 (310)20.92.77.159 (310)3.26.255.172 (308)3.26.98.5 (308)35.189.4.156 (298)View all →

🏢 Same network: AS396982

34.78.110.28 (348)136.67.84.210 (340)34.74.191.44 (340)136.67.103.22 (340)35.254.195.37 (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.

💡 Credential Stuffing at Scale

Credential stuffing uses stolen username-password pairs from data breaches to attempt logins across many websites. Since users frequently reuse passwords, these automated attacks achieve success rates of 0.1-2%, which translates to thousands of compromised accounts from millions of attempts.

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