ABUSE.MOM
THREAT REPORT

IP Threat Report
172.235.251.137

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-30 07:08:55
First seen: 2026-03-03 16:00:05
Last seen: 2026-03-08 10:00:05
73

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 73/100. Total malicious requests observed: 4.

BOT_UAUA_CHANGEDMETHOD
01

Geolocation & Classification

IP Address
172.235.251.137
Type
Hosting
Country
🇮🇩 Indonesia
City
Jakarta
ISP
Akamai Technologies, Inc.
Organization
Akamai Technologies, Inc.
Autonomous System
AS63949 Akamai Connected Cloud
Hit Count
4
02

Detection Signatures

SignatureDescriptionPointsSeverity
UA bot: pythonKnown bot/crawler User-Agent detected+40
UA changed for same IPMultiple User-Agents — bot rotation technique+25
POST requests presentBehavioral anomaly detected by automated analysis+8
Σ = 73
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

2026-03-03 16:00:05
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
UA bot: python (+40), UA changed for same IP (+25), POST requests present (+8)
2026-03-08 10:00:05
Last malicious request observed
Total score reached: 73/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

Akamai Technologies, Inc.
AS63949 · 🇮🇩 Indonesia
06

Recommendations

Actions taken & recommended

  • IP 172.235.251.137 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

🤖 User-Agent Anomaly Defense

IP 172.235.251.137 shows suspicious UA behavior. Block empty User-Agent requests. Implement JavaScript-based bot detection for sensitive endpoints.

08

Open Ports & Services

Network reconnaissance data from Shodan. Open ports may indicate running services, misconfigurations, or potential attack surfaces.

OPEN PORTS (1)
PortServiceRiskDescription
80HTTPLowHTTP web server — standard web traffic
DETECTED TECHNOLOGIES
golang:gocaddyserver:caddy
Hostnames: 172-235-251-137.ip.linodeusercontent.com
PTR: 172-235-251-137.ip.linodeusercontent.com

Data source: Shodan InternetDB. Scanned independently of abuse.mom.

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

172.235.251.137 has been assigned a threat score of 73/100 (High). The IP is rated as a high-level threat. Network administrators should implement blocking rules and monitor for any connections from this address.

The following attack categories were identified:

User-Agent Anomaly

📊 Threat Analysis

Our monitoring infrastructure has identified 172.235.251.137, geolocated to Jakarta, Indonesia, operating on the network of Akamai Technologies, Inc., as a source of suspicious network activity. Over a period of 4 days, this IP generated 4 malicious requests, averaging approximately 1 requests per day. Classified as a hosting IP, this address likely runs on a rented server or cloud instance. Attackers prefer datacenter IPs for their high bandwidth and disposable nature. Detected suspicious User-Agent anomalies including empty, forged, or rapidly rotating UA strings — characteristic of automated scanning tools. The score of 73/100 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 Indonesia

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🏢 Same network: AS63949

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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.

🔍 Check Any IP Address

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