ABUSE.MOM
THREAT REPORT

IP Threat Report
74.248.32.128

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-09-13 13:47:32
First seen: 2026-08-12 20:34:24
Last seen: 2026-08-16 01:04:16
280

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 280/100. Total malicious requests observed: 780.

BURSTDANGER_PATHRATIO_404REDIRECT_PROBEUA_SUS
01

Geolocation & Classification

IP Address
74.248.32.128
Type
Hosting
Country
🇵🇱 Poland
City
Warsaw
ISP
Microsoft Corporation
Organization
Microsoft Azure Cloud (polandcentral)
Autonomous System
AS8075 Microsoft Corporation
Hit Count
780
02

Detection Signatures

SignatureDescriptionPointsSeverity
404 ratio 40-60%Majority of requests returned 404 — enumeration+15
Burst 112/10sAbnormally fast request rate — automated scanning+35
Burst 127/10sAbnormally fast request rate — automated scanning+35
Burst 140/10sAbnormally fast request rate — automated scanning+35
Burst 32/2sAbnormally fast request rate — automated scanning+35
Burst 35/2sAbnormally fast request rate — automated scanning+35
Burst 42/2sAbnormally fast request rate — automated scanning+35
Burst 47/2sAbnormally fast request rate — automated scanning+35
Burst 48/10sAbnormally fast request rate — automated scanning+35
Burst 49/2sAbnormally fast request rate — automated scanning+35
Burst 68/2sAbnormally fast request rate — automated scanning+35
Burst 90/10sAbnormally fast request rate — automated scanning+35
Burst 94/10sAbnormally fast request rate — automated scanning+35
Burst 96/10sAbnormally fast request rate — automated scanning+35
Danger medium hits: 48Medium-risk: admin panels, config files+60
Danger medium hits: 94Medium-risk: admin panels, config files+60
Danger medium hits: 96Medium-risk: admin panels, config files+60
Danger strong hits: 2High-risk paths: shells, RCE vectors, exploits+50
Danger strong hits: 3High-risk paths: shells, RCE vectors, exploits+75
Danger strong hits: 4High-risk paths: shells, RCE vectors, exploits+100
Probe 302→404Behavioral anomaly detected by automated analysis+20
UA suspiciousBehavioral anomaly detected by automated analysis+15
Σ = 910
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

2026-08-12 20:34:24
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
404 ratio 40-60% (+15), Burst 112/10s (+35), Burst 127/10s (+35)
2026-08-16 01:04:16
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 · 🇵🇱 Poland
06

Recommendations

Actions taken & recommended

  • IP 74.248.32.128 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

🔎 Path Enumeration Protection

Block scanning from 74.248.32.128: rate-limit 404 responses per IP, deploy a honeypot 404 page, ensure no backup files are web-accessible.

🌊 Flood / DDoS Mitigation

Implement limit_req_zone in nginx. Deploy CDN with DDoS protection. Configure SYN cookies and connection tracking to throttle 74.248.32.128.

🤖 User-Agent Anomaly Defense

IP 74.248.32.128 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.

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

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

10

Threat Analysis

74.248.32.128 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

The address 74.248.32.128 originates from Warsaw, Poland, operating on the network of Microsoft Corporation. It was identified through automated analysis of incoming network traffic across monitored endpoints. The address has been active for 3 days in our monitoring system, producing 780 flagged requests at a rate of ~260/day. This address belongs to a datacenter or cloud hosting provider. Hosting IPs are frequently leveraged by threat actors who rent cheap VPS instances specifically for conducting attacks. The combination of 3 distinct attack vectors indicates a sophisticated, multi-pronged threat actor deploying automated tools that probe multiple attack surfaces simultaneously. At 280/100, this is an extremely high-risk address. All traffic should be considered hostile.

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 Poland

74.248.20.32 (280)74.248.96.101 (280)20.215.189.213 (280)74.248.35.25 (280)74.248.24.145 (280)View all →

🏢 Same network: AS8075

68.155.155.199 (320)20.127.136.245 (318)20.151.200.44 (315)20.220.203.117 (280)20.79.30.30 (280)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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