DMARC Spoof Detection, Failed Authentications
About this Project
โผSh4meful tracks IP addresses caught sending unauthorized email, detected through DMARC report analysis across millions of authentication records.
Every entry here is an IP address that failed both SPF and DKIM authentication checks for domains I monitor. In most cases, that means someone (or something) used the domain name without permission; a signature pattern of email spoofing, phishing, spam, and other abusive mail activity.
The dataset is drawn from DMARC aggregate reports and represents a fraction of a larger corpus spanning millions of messages. Each record shows what failed and where: the source IP, its network, its geography, and limited metadata from the authentication event. Determining intent, whether a failure is hostile or incidental, requires context beyond what DMARC provides, but the patterns speak clearly enough at volume.
Not every failure is malicious. Some legitimate services (email security gateways, spam filters, phishing analysis platforms) break authentication as a side effect of message inspection or forwarding. I track these confounders separately and hide them by default, though they remain available for review. Much of that traffic is benign infrastructure noise. Some isn't.
Elements of this dataset and supporting models will eventually be open-sourced on GitHub. (More)
58,638
8,382
1,368
98,517
Failures
Showing 1-10 of 58,638 failures, affecting 98,517 messages| Date โฒ | Source IP | Country | City | Network | Messages |
|---|---|---|---|---|---|
| 3/5/2024 | US United States | Boardman | 1 | ||
| 3/6/2024 | NL The Netherlands | Amsterdam | 1 | ||
| 3/6/2024 | LT Lithuania | 1 | |||
| 3/6/2024 | LT Lithuania | 1 | |||
| 3/6/2024 | US United States | 1 | |||
| 3/8/2024 | US United States | Los Angeles | 1 | ||
| 3/8/2024 | LT Lithuania | 1 | |||
| 3/8/2024 | US United States | 3 | |||
| 3/9/2024 | US United States | 1 | |||
| 3/9/2024 | CN China | 2 |
DMARC Activity
Most Active Networks by Spoof Volume (30 days)
Top networks by failed message volume over the last 30 days.
Claro NXT Telecomunicacoes Ltda
UNE EPM TELECOMUNICACIONES S.A.
UZTELECOM
VIETTEL-VN
RIMA
TOTNET
Telecentro S.A. - Clientes Residenciales
SJNET TELECOMUNICACOES - EIRELI
IDS-Network
ACCESS NET EIRELI- ME
PT-NOS-20081215
WEBSURFONLINE-IN
CABLE-1
GOOGL-2
Most Active IPs by Spoof Volume (30 days)
Top IP addresses by failed message volume over the last 30 days.
IP Intelligence Report for 181.137.106.39
IP Intelligence Report for 187.36.152.78
IP Intelligence Report for 209.85.220.101
IP Intelligence Report for 88.2.196.77
IP Intelligence Report for 170.82.20.146
IP Intelligence Report for 186.19.62.204
IP Intelligence Report for 95.92.75.217
IP Intelligence Report for 1.1.139.92
IP Intelligence Report for 103.6.185.78
IP Intelligence Report for 177.39.156.138
IP Intelligence Report for 116.96.45.114
IP Intelligence Report for 180.232.227.3
IP Intelligence Report for 96.71.227.169
IP Intelligence Report for 189.75.168.206
IP Intelligence Report for 5.29.19.133
IP Intelligence Report for 37.142.153.223
IP Intelligence Report for 201.13.147.99
IP Intelligence Report for 187.109.76.210
IP Intelligence Report for 187.87.80.14
IP Intelligence Report for 95.107.170.87
Top Threat Countries
- China - Email Spoofing Analysis
- United States - Email Spoofing Analysis
- Russia - Email Spoofing Analysis
- Germany - Email Spoofing Analysis
- India - Email Spoofing Analysis
- United Kingdom - Email Spoofing Analysis
- France - Email Spoofing Analysis
- Brazil - Email Spoofing Analysis
- Japan - Email Spoofing Analysis
- Canada - Email Spoofing Analysis
- Netherlands - Email Spoofing Analysis
- Australia - Email Spoofing Analysis
- South Korea - Email Spoofing Analysis
- Italy - Email Spoofing Analysis
- Spain - Email Spoofing Analysis
- Turkey - Email Spoofing Analysis
- Poland - Email Spoofing Analysis
- Ukraine - Email Spoofing Analysis
- Mexico - Email Spoofing Analysis
- Argentina - Email Spoofing Analysis