Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AB822C6AB21833704A4343F6EF1616F5F21341BDC3521BACD3ADC104B2599ED8676EC6 |
|
CONTENT
ssdeep
|
192:QoloB6CJ54t94ur6eU+sD331qC4476RaSqFzipqcku9cuGRmKbMpBXp7sfgg8gk:Q6oCXrbC3l94PiiismMpBZ7eg/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f5aa55a255aa558a |
|
VISUAL
aHash
|
ff818181e7e7e702 |
|
VISUAL
dHash
|
0e0f0f0f4d4c0f0e |
|
VISUAL
wHash
|
ff81c300e7e7e700 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
0e0f0f0f4d4c0f0e |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 485 techniques to evade detection by security scanners and make reverse engineering more difficult.
Drainer supports multiple blockchain networks and checks for high-value tokens on each chain before executing drain operations.