ABUSE.MOM
THREAT REPORT

IP Threat Report
69.160.160.57

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-27 05:27:37
First seen: 2026-04-04 08:00:05
Last seen: 2026-04-04 08:00:05
75

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 75/100. Total malicious requests observed: 1.

BOT_UAUA_CHANGEDREFERER
01

Geolocation & Classification

IP Address
69.160.160.57
Type
Residential
Country
🇺🇸 United States
City
Tucson
ISP
Login, Inc.
Organization
Login LLC
Autonomous System
AS22772 Login, Inc.
Hit Count
1
02

Detection Signatures

SignatureDescriptionPointsSeverity
UA bot: crawlerKnown bot/crawler User-Agent detected+40
UA changed for same IPMultiple User-Agents — bot rotation technique+25
Foreign referer seenReferer from unrelated external domain+10
Σ = 75
03

Observed Activity

Reconstructed HTTP requests from server access logs. Target domains redacted for security.

[redacted]
GET
/
200
Requests shown: 1 · HTTP 404: 0 · Dangerous patterns: 0

* Typical request patterns for detected signatures. Actual target domains are redacted.

04

Timeline

2026-04-04 08:00:05
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
UA bot: crawler (+40), UA changed for same IP (+25), Foreign referer seen (+10)
2026-04-04 08:00:05
Last malicious request observed
Total score reached: 75/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

Login, Inc.
AS22772 · 🇺🇸 United States
06

Recommendations

Actions taken & recommended

  • IP 69.160.160.57 is blocked at application level (HTTP 403)
  • Consider blocking at firewall level (iptables/CSF) to reduce server load
  • Other malicious IPs detected in the same /24 subnet — consider blocking 69.160.160.0/24
  • 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 69.160.160.57 shows suspicious UA behavior. Block empty User-Agent requests. Implement JavaScript-based bot detection for sensitive endpoints.

07

Neighbors in 69.160.160.0/24

Other blocked IPs from the same /24 subnet — indicates systematic abuse from this network range.

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

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

10

Threat Analysis

69.160.160.57 has been assigned a threat score of 75/100 (High). At this threat level, the IP is considered high risk. Firewall rules should be updated to deny traffic from this source.

The following attack categories were identified:

User-Agent Anomaly

📊 Threat Analysis

The address 69.160.160.57 originates from Tucson, United States, operating on the network of Login, Inc.. It was identified through automated analysis of incoming network traffic across monitored endpoints. The address has been active for 1 days in our monitoring system, producing 1 flagged requests at a rate of ~1/day. The address is classified as residential, meaning it likely belongs to an end-user ISP connection. Malicious activity from residential IPs typically indicates device compromise or botnet membership. Detected suspicious User-Agent anomalies including empty, forged, or rapidly rotating UA strings — characteristic of automated scanning tools. With 108 flagged addresses, United States represents a significant presence in our threat database. The score of 75/100 indicates a confirmed malicious actor. Network-level blocking is appropriate.

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

Related Threats

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🏢 Same network: AS22772

69.160.160.61 (205)69.160.160.58 (180)69.160.160.60 (145)69.160.160.51 (145)69.160.160.50 (145)View all →
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.

💡 Content Security Policy Implementation

Content Security Policy headers instruct browsers to restrict resource loading, mitigating XSS and data injection attacks. Properly configured CSP policies prevent inline script execution, restrict iframe embedding, and control which domains can serve content.

🔍 Check Any IP Address

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