ABUSE.MOM
THREAT REPORT

IP Threat Report
20.240.242.60

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-30 10:25:51
First seen: 2026-04-24 17:00:06
Last seen: 2026-04-25 09:00:07
280

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 280/100. Total malicious requests observed: 16.

UA_SUSDANGER_PATHRATIO_404REDIRECT_PROBEBURST
01

Geolocation & Classification

IP Address
20.240.242.60
Type
Hosting
Country
🇸🇪 Sweden
City
Gävle
ISP
Microsoft Corporation
Organization
Microsoft Azure Cloud (swedencentral)
Autonomous System
AS8075 Microsoft Corporation
Hit Count
16
02

Detection Signatures

SignatureDescriptionPointsSeverity
UA suspicious (short/empty)Behavioral anomaly detected by automated analysis+15
Danger strong hits: 8High-risk paths: shells, RCE vectors, exploits+100
Danger medium hits: 94Medium-risk: admin panels, config files+60
404 ratio 40-60%Majority of requests returned 404 — enumeration+15
Probe pattern 302->404 same pathBehavioral anomaly detected by automated analysis+20
Burst: 33 req / 2sAbnormally fast request rate — automated scanning+35
Burst: 93 req / 10sAbnormally fast request rate — automated scanning+35
Danger strong hits: 14High-risk paths: shells, RCE vectors, exploits+100
Danger medium hits: 188Medium-risk: admin panels, config files+60
Burst: 42 req / 2sAbnormally fast request rate — automated scanning+35
Burst: 96 req / 10sAbnormally fast request rate — automated scanning+35
Danger strong hits: 12High-risk paths: shells, RCE vectors, exploits+100
Danger medium hits: 92Medium-risk: admin panels, config files+60
Burst: 62 req / 2sAbnormally fast request rate — automated scanning+35
Burst: 125 req / 10sAbnormally fast request rate — automated scanning+35
Burst: 51 req / 2sAbnormally fast request rate — automated scanning+35
Burst: 110 req / 10sAbnormally fast request rate — automated scanning+35
Danger strong hits: 6High-risk paths: shells, RCE vectors, exploits+100
Burst: 46 req / 2sAbnormally fast request rate — automated scanning+35
Burst: 94 req / 10sAbnormally fast request rate — automated scanning+35
Burst: 25 req / 2sAbnormally fast request rate — automated scanning+35
Burst: 74 req / 10sAbnormally fast request rate — automated scanning+35
Danger strong hits: 9High-risk paths: shells, RCE vectors, exploits+100
Burst: 100 req / 10sAbnormally fast request rate — automated scanning+35
Burst: 32 req / 2sAbnormally fast request rate — automated scanning+35
Burst: 81 req / 10sAbnormally fast request rate — automated scanning+35
Burst: 61 req / 2sAbnormally fast request rate — automated scanning+35
Burst: 141 req / 10sAbnormally fast request rate — automated scanning+35
Burst: 66 req / 2sAbnormally fast request rate — automated scanning+35
Burst: 34 req / 2sAbnormally fast request rate — automated scanning+35
Burst: 90 req / 10sAbnormally fast request rate — automated scanning+35
Burst: 48 req / 2sAbnormally fast request rate — automated scanning+35
Burst: 124 req / 10sAbnormally fast request rate — automated scanning+35
Burst: 72 req / 2sAbnormally fast request rate — automated scanning+35
Danger strong hits: 3High-risk paths: shells, RCE vectors, exploits+75
Danger medium hits: 47Medium-risk: admin panels, config files+60
404 ratio >= 60%Majority of requests returned 404 — enumeration+25
Burst: 47 req / 2sAbnormally fast request rate — automated scanning+35
Burst: 47 req / 10sAbnormally fast request rate — automated scanning+35
Danger medium hits: 18Medium-risk: admin panels, config files+60
Burst: 27 req / 2sAbnormally fast request rate — automated scanning+35
Burst: 27 req / 10sAbnormally fast request rate — automated scanning+35
Σ = 1895
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

2026-04-24 17:00:06
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
UA suspicious (short/empty) (+15), Danger strong hits: 8 (+100), Danger medium hits: 94 (+60)
2026-04-25 09:00:07
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 · 🇸🇪 Sweden
06

Recommendations

Actions taken & recommended

  • IP 20.240.242.60 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

🤖 Bot Detection

Address UA spoofing from 20.240.242.60: maintain blocklist of known malicious UA strings, require consistent UA across sessions, implement TLS fingerprinting.

🔎 Directory Scan Defense

IP 20.240.242.60 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 20.240.242.60.

09

Blacklist Status (DNSBL)

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

⛔ LISTED
zen.spamhaus.org
✓ Clean
ix.dnsbl.manitu.net
✓ Clean
dnsbl.sorbs.net
✓ Clean
bl.spamcop.net
✓ Clean
dnsbl-1.uceprotect.net
✓ Clean
b.barracudacentral.org
✓ Clean
truncate.gbudb.net
✓ Clean
psbl.surriel.com

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

10

Threat Analysis

20.240.242.60 has been assigned a threat score of 280/100 (Critical). With this rating, the IP falls into the critical severity bracket — among the most dangerous addresses in our monitoring database.

The following attack categories were identified:

User-Agent AnomalyPath EnumerationRequest Flooding

📊 Threat Analysis

The address 20.240.242.60 originates from Gävle, Sweden, operating on the network of Microsoft Corporation. It was identified through automated analysis of incoming network traffic across monitored endpoints. Over a period of 1 days, this IP generated 16 malicious requests, averaging approximately 16 requests per day. The IP is classified as hosting/datacenter infrastructure, commonly associated with rented servers used for automated attack campaigns, botnet command-and-control, or vulnerability scanning at scale. The diversity of 3 separate attack methods suggests a comprehensive attack toolkit — likely an automated scanner that tests for vulnerabilities across multiple categories. Sweden currently accounts for 102 blocked IPs in our database, making it a significant source of malicious traffic. 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 Sweden

74.241.249.229 (340)91.92.42.120 (300)91.92.42.63 (300)51.107.182.56 (280)20.91.197.150 (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

💡 HTTP Header Analysis for Threat Detection

Examining HTTP headers beyond User-Agent reveals attack tools and automated scripts. Missing standard headers, unusual ordering, non-standard values, and inconsistencies with claimed client identity all serve as reliable detection signals.

💡 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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