Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1380145705522DC3A48E2C2E9AAF4172F26C6C78ACE83070357EC93CD0EDAD81CD05141 |
|
CONTENT
ssdeep
|
12:hRww8yLpAqTRD10MV5cOW1fZdIG0lCGmBz:hRF8Op1RDG+2NjdJHGs |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc31336633dc33cc |
|
VISUAL
aHash
|
0818181818181818 |
|
VISUAL
dHash
|
30b2b2b2b2b2b230 |
|
VISUAL
wHash
|
38383c3c3c3c3c3c |
|
VISUAL
colorHash
|
31008048001 |
|
VISUAL
cropResistant
|
30b2b2b2b2b2b230 |
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 161 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.
Pages with identical visual appearance (based on perceptual hash)