ABUSE.MOM
THREAT REPORT

IP Threat Report
157.22.19.174

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-27 19:40:28
First seen: 2026-03-23 05:00:05
Last seen: 2026-03-23 05:00:05
245

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 245/100. Total malicious requests observed: 1.

BOT_UAUA_CHANGEDDANGER_PATHRATIO_404BURSTREFERER
01

Geolocation & Classification

IP Address
157.22.19.174
Type
Residential
Country
🇸🇪 Sweden
City
Gusum
ISP
Global Transit Systems LLC
Organization
Global Transit Systems LLC
Autonomous System
AS213954 Global Transit Systems LLC
Hit Count
1
02

Detection Signatures

SignatureDescriptionPointsSeverity
UA bot: wgetKnown bot/crawler User-Agent detected+40
UA changed for same IPMultiple User-Agents — bot rotation technique+25
Danger strong hits: 5High-risk paths: shells, RCE vectors, exploits+100
Danger medium hits: 2Medium-risk: admin panels, config files+20
404 ratio 40-60%Majority of requests returned 404 — enumeration+15
Burst: 6 req / 2sAbnormally fast request rate — automated scanning+35
Foreign referer seenReferer from unrelated external domain+10
Σ = 245
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

2026-03-23 05:00:05
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
UA bot: wget (+40), UA changed for same IP (+25), Danger strong hits: 5 (+100)
2026-03-23 05:00:05
Last malicious request observed
Total score reached: 245/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

Global Transit Systems LLC
AS213954 · 🇸🇪 Sweden
06

Recommendations

Actions taken & recommended

  • IP 157.22.19.174 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

🤖 Bot Detection

Address UA spoofing from 157.22.19.174: maintain blocklist of known malicious UA strings, require consistent UA across sessions, implement TLS fingerprinting.

🔎 Path Enumeration Protection

Block scanning from 157.22.19.174: rate-limit 404 responses per IP, deploy a honeypot 404 page, ensure no backup files are web-accessible.

🌊 Flood / DDoS Mitigation

Implement limit_req_zone in nginx. Deploy CDN with DDoS protection. Configure SYN cookies and connection tracking to throttle 157.22.19.174.

09

Blacklist Status (DNSBL)

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

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

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

10

Threat Analysis

157.22.19.174 has been assigned a threat score of 245/100 (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 AnomalyPath EnumerationRequest Flooding

📊 Threat Analysis

Threat intelligence analysis has linked 157.22.19.174 to malicious activity originating from Gusum, Sweden, operating on the network of Global Transit Systems LLC. The address has been under observation since its initial detection. Our sensors captured 1 malicious requests from this address across a 1-day span, reflecting a sustained attack cadence of ~1 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 diversity of 3 separate attack methods suggests a comprehensive attack toolkit — likely an automated scanner that tests for vulnerabilities across multiple categories. At 245/100, this is an extremely high-risk address. All traffic should be considered hostile.

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 Sweden

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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.

💡 Server-Side Request Forgery (SSRF)

SSRF attacks trick servers into making requests to internal resources that should not be publicly accessible. This can expose cloud metadata endpoints, internal APIs, and private network services, potentially leading to full infrastructure compromise.

🔍 Check Any IP Address

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