ABUSE.MOM
THREAT REPORT

IP Threat Report
172.14.22.96

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-27 20:50:09
First seen: 2026-03-05 00:00:07
Last seen: 2026-03-05 00:00:07
95

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 95/100. Total malicious requests observed: 2.

UA_CHANGEDBURST
01

Geolocation & Classification

IP Address
172.14.22.96
Type
Residential
Country
🇺🇸 United States
City
Decatur
ISP
AT&T Enterprises, LLC
Organization
AT&T Enterprises, LLC
Autonomous System
AS7018 AT&T Enterprises, LLC
Hit Count
2
02

Detection Signatures

SignatureDescriptionPointsSeverity
UA changed for same IPMultiple User-Agents — bot rotation technique+25
Burst: 38 req / 2sAbnormally fast request rate — automated scanning+35
Burst: 39 req / 10sAbnormally fast request rate — automated scanning+35
Σ = 95
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

2026-03-05 00:00:07
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
UA changed for same IP (+25), Burst: 38 req / 2s (+35), Burst: 39 req / 10s (+35)
2026-03-05 00:00:07
Last malicious request observed
Total score reached: 95/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

AT&T Enterprises, LLC
AS7018 · 🇺🇸 United States
06

Recommendations

Actions taken & recommended

  • IP 172.14.22.96 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 172.14.22.96 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 172.14.22.96.

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

172.14.22.96 has been assigned a threat score of 95/100 (Critical). This is a critical-level threat. Systems administrators should treat this IP as hostile and block all inbound connections without exception.

The following attack categories were identified:

User-Agent AnomalyRequest Flooding

📊 Threat Analysis

172.14.22.96 is registered in Decatur, United States, operating on the network of AT&T Enterprises, LLC. This IP first appeared in our threat feeds after triggering multiple behavioral detection signatures. Over a period of 1 days, this IP generated 2 malicious requests, averaging approximately 2 requests per day. This residential IP is likely a compromised consumer device. Home routers and IoT equipment with default credentials are prime targets for botnet operators. The dual attack vectors of User-Agent Anomaly combined with Request Flooding indicate a coordinated assault rather than opportunistic scanning. Our records show 164 malicious IPs originating from United States, positioning it as a significant contributor to global threat activity. With a threat score of 95/100, this IP is among the most dangerous addresses in our database. Immediate and complete blocking is strongly recommended.

This IP is classified as residential, suggesting it may belong to a compromised home device, IoT botnet member, or an infected personal computer. Residential IPs involved in attacks often indicate malware infection without the owner's knowledge.

11

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🏢 Same network: AS7018

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12

Security Intelligence

💡 User-Agent Analysis Techniques

Analyzing User-Agent strings reveals automated tools masquerading as legitimate browsers. Inconsistencies between claimed browser capabilities and actual behavior, impossible version combinations, and known scanner signatures help identify malicious clients.

💡 GeoIP Blocking Considerations

Blocking traffic from specific countries reduces attack surface but impacts legitimate international users. Effective geo-based policies use tiered approaches — blocking, rate limiting, or requiring additional verification based on risk assessment.

🔍 Check Any IP Address

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