ABUSE.MOM
THREAT REPORT

IP Threat Report
217.160.155.217

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-30 08:24:54
First seen: 2026-03-05 22:00:07
Last seen: 2026-03-05 22:00:07
68

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 68/100. Total malicious requests observed: 1.

DANGER_PATHMETHOD
01

Geolocation & Classification

IP Address
217.160.155.217
Type
Residential
Country
🇪🇸 Spain
City
Madrid
ISP
IONOS SE
Organization
Es Lgr Pl Ngcs Public
Autonomous System
AS8560 IONOS SE
Hit Count
1
02

Detection Signatures

SignatureDescriptionPointsSeverity
Danger strong hits: 2High-risk paths: shells, RCE vectors, exploits+50
Danger medium hits: 1Medium-risk: admin panels, config files+10
POST requests presentBehavioral anomaly detected by automated analysis+8
Σ = 68
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

2026-03-05 22:00:07
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
Danger strong hits: 2 (+50), Danger medium hits: 1 (+10), POST requests present (+8)
2026-03-05 22:00:07
Last malicious request observed
Total score reached: 68/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

IONOS SE
AS8560 · 🇪🇸 Spain
06

Recommendations

Actions taken & recommended

  • IP 217.160.155.217 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

⚙️ Defensive Recommendations

Block 217.160.155.217 at the network perimeter. Implement defense-in-depth combining IP blocking with application-layer protections.

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

217.160.155.217 has been assigned a threat score of 68/100 (High). This classifies it as a high-severity threat. Proactive blocking is recommended for sensitive infrastructure.

📊 Threat Analysis

Threat intelligence analysis has linked 217.160.155.217 to malicious activity originating from Madrid, Spain, operating on the network of IONOS SE. The address has been under observation since its initial detection. The address has been active for 1 days in our monitoring system, producing 1 flagged requests at a rate of ~1/day. Operating from a residential network, this IP may represent a compromised home gateway or IoT device that has been drafted into a larger attack infrastructure. At 68/100, this IP presents a meaningful threat. Implement rate limiting with escalation to blocking.

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

🇪🇸 Top threats from Spain

82.223.49.50 (130)82.223.114.243 (130)93.93.112.98 (100)82.223.30.175 (85)217.160.225.18 (68)View all →

🏢 Same network: AS8560

87.106.147.24 (280)87.106.213.199 (265)31.70.90.11 (263)87.106.187.36 (220)66.179.255.119 (215)View all →
12

Security Intelligence

💡 WordPress-Specific Attack Vectors

WordPress sites face constant automated attacks targeting xmlrpc.php for brute force amplification, wp-login.php for credential theft, and vulnerable plugins for remote code execution. Over 90% of CMS-based attacks specifically target WordPress installations.

💡 Rate Limiting and Throttling Strategies

Effective rate limiting must balance protection against abuse with allowing legitimate traffic bursts. Sliding window algorithms, token buckets, and adaptive thresholds based on client reputation provide layered defense against flooding attacks.

🔍 Check Any IP Address

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