ABUSE.MOM
THREAT REPORT

IP Threat Report
34.52.149.255

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-22 11:54:47
First seen: 2026-03-06 07:00:05
Last seen: 2026-03-06 07:00:05
75

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 75/100. Total malicious requests observed: 1.

BOT_UAUA_CHANGEDREFERER
01

Geolocation & Classification

IP Address
34.52.149.255
Type
Hosting
Country
🇧🇪 Belgium
City
Brussels
ISP
Google LLC
Organization
Google Cloud (europe-west1)
Autonomous System
AS396982 Google LLC
Hit Count
1
02

Detection Signatures

SignatureDescriptionPointsSeverity
UA bot: Go-http-clientKnown bot/crawler User-Agent detected+40
UA changed for same IPMultiple User-Agents — bot rotation technique+25
Foreign referer seenReferer from unrelated external domain+10
Σ = 75
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

2026-03-06 07:00:05
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
UA bot: Go-http-client (+40), UA changed for same IP (+25), Foreign referer seen (+10)
2026-03-06 07:00:05
Last malicious request observed
Total score reached: 75/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

Google LLC
AS396982 · 🇧🇪 Belgium
06

Recommendations

Actions taken & recommended

  • IP 34.52.149.255 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

🤖 User-Agent Anomaly Defense

IP 34.52.149.255 shows suspicious UA behavior. Block empty User-Agent requests. Implement JavaScript-based bot detection for sensitive endpoints.

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

34.52.149.255 has been assigned a threat score of 75/100 (High). This classifies it as a high-severity threat. Proactive blocking is recommended for sensitive infrastructure.

The following attack categories were identified:

User-Agent Anomaly

📊 Threat Analysis

Threat intelligence analysis has linked 34.52.149.255 to malicious activity originating from Brussels, Belgium, operating on the network of Google LLC. The address has been under observation since its initial detection. During its 1-day observation window, we recorded 1 hostile requests from this IP — roughly 1 per day on average. 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. Detected suspicious User-Agent anomalies including empty, forged, or rapidly rotating UA strings — characteristic of automated scanning tools. Our records show 101 malicious IPs originating from Belgium, positioning it as a significant contributor to global threat activity. The score of 75/100 indicates a confirmed malicious actor. Network-level blocking is appropriate.

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 Belgium

34.22.208.175 (285)34.22.171.171 (263)185.132.187.80 (255)185.132.187.78 (255)185.132.187.77 (255)View all →

🏢 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

💡 TLS Fingerprinting (JA3/JA4)

TLS fingerprinting creates unique identifiers based on how clients negotiate encrypted connections. The JA3 and JA4 methods generate hashes from TLS ClientHello parameters, enabling identification of specific tools and malware regardless of IP address changes.

💡 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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