ABUSE.MOM
THREAT REPORT

IP Threat Report
57.141.16.79

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-27 09:02:28
First seen: 2026-02-25 22:00:08
Last seen: 2026-02-25 22:00:08
50

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 50/100. Total malicious requests observed: 1.

BOT_UADANGER_PATH
01

Geolocation & Classification

IP Address
57.141.16.79
Type
Residential
Country
🇺🇸 United States
City
Seattle
ISP
Facebook, Inc.
Organization
Meta Platforms Ireland Limited
Autonomous System
AS32934 Facebook, Inc.
Hit Count
1
02

Detection Signatures

SignatureDescriptionPointsSeverity
UA bot: crawlerKnown bot/crawler User-Agent detected+40
Danger medium hits: 1Medium-risk: admin panels, config files+10
Σ = 50
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

2026-02-25 22:00:08
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
UA bot: crawler (+40), Danger medium hits: 1 (+10)
2026-02-25 22:00:08
Last malicious request observed
Total score reached: 50/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

Facebook, Inc.
AS32934 · 🇺🇸 United States
06

Recommendations

Actions taken & recommended

  • IP 57.141.16.79 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 57.141.16.0/24
  • 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 57.141.16.79 shows suspicious UA behavior. Block empty User-Agent requests. Implement JavaScript-based bot detection for sensitive endpoints.

07

Neighbors in 57.141.16.0/24

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.

✓ Clean
Spamhaus ZEN

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

10

Threat Analysis

57.141.16.79 has been assigned a threat score of 50/100 (Medium). The IP presents a medium-level risk. Consider implementing rate limits and enhanced logging for traffic from this address.

The following attack categories were identified:

User-Agent Anomaly

📊 Threat Analysis

57.141.16.79 is registered in Seattle, United States, operating on the network of Facebook, Inc.. This IP first appeared in our threat feeds after triggering multiple behavioral detection signatures. During its 1-day observation window, we recorded 1 hostile requests from this IP — roughly 1 per day on average. This residential IP is likely a compromised consumer device. Home routers and IoT equipment with default credentials are prime targets for botnet operators. Detected suspicious User-Agent anomalies including empty, forged, or rapidly rotating UA strings — characteristic of automated scanning tools. With 199 flagged addresses, United States represents a significant presence in our threat database. The score of 50/100 warrants active monitoring and rate-limiting. Full blocking is advisable for sensitive systems.

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: AS32934

31.13.127.87 (135)31.13.127.41 (135)31.13.127.18 (135)57.141.0.35 (110)57.141.0.48 (90)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.

💡 Privacy-Preserving Threat Detection

Advanced techniques enable threat detection while minimizing privacy impact. Encrypted DNS, differential privacy in analytics, and federated learning for threat models allow effective security monitoring without unnecessary surveillance of legitimate user behavior.

🔍 Check Any IP Address

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