ABUSE.MOM
THREAT REPORT

IP Threat Report
172.212.188.103

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-30 08:41:53
First seen: 2026-04-26 12:00:05
Last seen: 2026-05-24 10:22:05
280

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 280/100. Total malicious requests observed: 676.

BURSTDANGER_PATHRATIO_404REDIRECT_PROBEUA_SUS
01

Geolocation & Classification

IP Address
172.212.188.103
Type
Hosting
Country
🇺🇸 United States
City
Des Moines
ISP
Microsoft Corporation
Organization
Microsoft Azure Cloud (centralus)
Autonomous System
AS8075 Microsoft Corporation
Hit Count
676
02

Detection Signatures

SignatureDescriptionPointsSeverity
404 ratio 40-60%Majority of requests returned 404 — enumeration+15
404 ratio >= 60%Majority of requests returned 404 — enumeration+25
Burst 17/2sAbnormally fast request rate — automated scanning+35
Burst 18/2sAbnormally fast request rate — automated scanning+35
Burst 19/2sAbnormally fast request rate — automated scanning+35
Burst 58/10sAbnormally fast request rate — automated scanning+35
Burst 60/10sAbnormally fast request rate — automated scanning+35
Burst 63/10sAbnormally fast request rate — automated scanning+35
Burst: 16 req / 2sAbnormally fast request rate — automated scanning+35
Burst: 17 req / 2sAbnormally fast request rate — automated scanning+35
Burst: 18 req / 2sAbnormally fast request rate — automated scanning+35
Burst: 19 req / 2sAbnormally fast request rate — automated scanning+35
Burst: 20 req / 2sAbnormally fast request rate — automated scanning+35
Burst: 45 req / 10sAbnormally fast request rate — automated scanning+35
Burst: 54 req / 10sAbnormally fast request rate — automated scanning+35
Burst: 55 req / 10sAbnormally fast request rate — automated scanning+35
Burst: 56 req / 10sAbnormally fast request rate — automated scanning+35
Burst: 57 req / 10sAbnormally fast request rate — automated scanning+35
Burst: 58 req / 10sAbnormally fast request rate — automated scanning+35
Burst: 60 req / 10sAbnormally fast request rate — automated scanning+35
Burst: 61 req / 10sAbnormally fast request rate — automated scanning+35
Burst: 62 req / 10sAbnormally fast request rate — automated scanning+35
Burst: 63 req / 10sAbnormally fast request rate — automated scanning+35
Burst: 64 req / 10sAbnormally fast request rate — automated scanning+35
Burst: 65 req / 10sAbnormally fast request rate — automated scanning+35
Burst: 67 req / 10sAbnormally fast request rate — automated scanning+35
Burst: 68 req / 10sAbnormally fast request rate — automated scanning+35
Danger medium hits: 1Medium-risk: admin panels, config files+10
Danger medium hits: 166Medium-risk: admin panels, config files+60
Danger medium hits: 42Medium-risk: admin panels, config files+60
Danger medium hits: 43Medium-risk: admin panels, config files+60
Danger medium hits: 45Medium-risk: admin panels, config files+60
Danger medium hits: 583Medium-risk: admin panels, config files+60
Danger medium hits: 618Medium-risk: admin panels, config files+60
Danger medium hits: 84Medium-risk: admin panels, config files+60
Danger medium hits: 87Medium-risk: admin panels, config files+60
Danger strong hits: 1High-risk paths: shells, RCE vectors, exploits+25
Danger strong hits: 12High-risk paths: shells, RCE vectors, exploits+100
Danger strong hits: 18High-risk paths: shells, RCE vectors, exploits+100
Danger strong hits: 19High-risk paths: shells, RCE vectors, exploits+100
Danger strong hits: 207High-risk paths: shells, RCE vectors, exploits+100
Danger strong hits: 295High-risk paths: shells, RCE vectors, exploits+100
Danger strong hits: 302High-risk paths: shells, RCE vectors, exploits+100
Danger strong hits: 4High-risk paths: shells, RCE vectors, exploits+100
Danger strong hits: 6High-risk paths: shells, RCE vectors, exploits+100
Danger strong hits: 8High-risk paths: shells, RCE vectors, exploits+100
Danger strong hits: 80High-risk paths: shells, RCE vectors, exploits+100
Probe pattern 302->404 same pathBehavioral anomaly detected by automated analysis+20
UA suspicious (short/empty)Behavioral anomaly detected by automated analysis+15
Σ = 2465
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

2026-04-26 12:00:05
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
404 ratio 40-60% (+15), 404 ratio >= 60% (+25), Burst 17/2s (+35)
2026-05-24 10:22:05
Last malicious request observed
Total score reached: 280/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

Microsoft Corporation
AS8075 · 🇺🇸 United States
06

Recommendations

Actions taken & recommended

  • IP 172.212.188.103 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

🔎 Directory Scan Defense

IP 172.212.188.103 is enumerating directories. Configure fail2ban apache-404 jail after 10+ 404 errors. Disable directory listings. Normalize all 404 responses.

🌊 Flood / DDoS Mitigation

Implement limit_req_zone in nginx. Deploy CDN with DDoS protection. Configure SYN cookies and connection tracking to throttle 172.212.188.103.

🤖 Bot Detection

Address UA spoofing from 172.212.188.103: maintain blocklist of known malicious UA strings, require consistent UA across sessions, implement TLS fingerprinting.

09

Blacklist Status (DNSBL)

This IP was checked against major DNS-based blacklists used by mail servers and firewalls worldwide.

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

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

10

Threat Analysis

172.212.188.103 has been assigned a threat score of 280/100 (Critical). This places it in the critical threat category. Immediate blocking is strongly advised across all network perimeters.

The following attack categories were identified:

Path EnumerationRequest FloodingUser-Agent Anomaly

📊 Threat Analysis

172.212.188.103 is registered in Des Moines, United States, operating on the network of Microsoft Corporation. This IP first appeared in our threat feeds after triggering multiple behavioral detection signatures. Over a period of 27 days, this IP generated 676 malicious requests, averaging approximately 25 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. With 3 different attack patterns detected, this IP exhibits behavior characteristic of advanced automated scanning frameworks. With 15 flagged addresses, United States represents a notable presence in our threat database. A score of 280/100 places this address in the top tier of severity. Block and investigate any historical connections.

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 United States

20.65.61.3 (283)20.29.71.103 (283)172.190.142.176 (280)135.119.26.13 (280)172.212.217.10 (280)View all →

🏢 Same network: AS8075

74.241.249.229 (340)20.151.111.128 (308)4.182.24.88 (285)20.65.61.3 (283)4.205.39.97 (283)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.

💡 Machine Learning in Threat Detection

Machine learning models analyze vast amounts of network traffic to identify attack patterns invisible to rule-based systems. Supervised models classify known attack types while unsupervised models detect anomalies that may indicate novel threats.

🔍 Check Any IP Address

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