ABUSE.MOM
THREAT REPORT

IP Threat Report
44.243.71.73

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-27 16:10:24
First seen: 2026-02-27 19:00:07
Last seen: 2026-02-27 19:00:07
110

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 110/100. Total malicious requests observed: 1.

BOT_UABURST
01

Geolocation & Classification

IP Address
44.243.71.73
Type
Hosting
Country
🇺🇸 United States
City
Portland
ISP
Amazon.com, Inc.
Organization
AWS EC2 (us-west-2)
Autonomous System
AS16509 Amazon.com, Inc.
Hit Count
1
02

Detection Signatures

SignatureDescriptionPointsSeverity
UA bot: spiderKnown bot/crawler User-Agent detected+40
Burst: 6 req / 2sAbnormally fast request rate — automated scanning+35
Burst: 10 req / 10sAbnormally fast request rate — automated scanning+35
Σ = 110
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

2026-02-27 19:00:07
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
UA bot: spider (+40), Burst: 6 req / 2s (+35), Burst: 10 req / 10s (+35)
2026-02-27 19:00:07
Last malicious request observed
Total score reached: 110/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

Amazon.com, Inc.
AS16509 · 🇺🇸 United States
06

Recommendations

Actions taken & recommended

  • IP 44.243.71.73 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 44.243.71.73 shows suspicious UA behavior. Block empty User-Agent requests. Implement JavaScript-based bot detection for sensitive endpoints.

🌊 Flood / DDoS Mitigation

Implement limit_req_zone in nginx. Deploy CDN with DDoS protection. Configure SYN cookies and connection tracking to throttle 44.243.71.73.

09

Blacklist Status (DNSBL)

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

✓ Clean
Spamhaus ZEN

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

10

Threat Analysis

44.243.71.73 has been assigned a threat score of 110/100 (Critical). This represents a critical risk level. Our detection systems have flagged multiple high-confidence indicators of malicious intent from this address.

The following attack categories were identified:

User-Agent AnomalyRequest Flooding

📊 Threat Analysis

Our monitoring infrastructure has identified 44.243.71.73, geolocated to Portland, United States, operating on the network of Amazon.com, Inc., as a source of suspicious network activity. Over a period of 1 days, this IP generated 1 malicious requests, averaging approximately 1 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. Two attack patterns were identified (User-Agent Anomaly and Request Flooding), suggesting a semi-automated campaign that targets multiple vulnerabilities. With 130 flagged addresses, United States represents a significant presence in our threat database. At 110/100, 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

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🏢 Same network: AS16509

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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.

💡 Emerging Threats from AI-Powered Attacks

Artificial intelligence enables more convincing phishing content, faster vulnerability discovery, and adaptive attack strategies that learn from defensive responses. AI-generated social engineering and automated exploit development represent growing threats.

🔍 Check Any IP Address

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