Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1431409206201347752BF8AEFF1993B06A33FB32DC91B9CD5A294D24976FDE11C227A45 |
|
CONTENT
ssdeep
|
3072:NwFYy4nXPcjgL0vHWeYy4nXPcjgLYWeYy4nXPcjgLYWeYy4nXPcjgLeTjvmL6/bJ:GNv2rrCnUkbtn96xtTs |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c6623dccc3333dc |
|
VISUAL
aHash
|
0001011b1b1f070f |
|
VISUAL
dHash
|
a245869232142951 |
|
VISUAL
wHash
|
0303071f1f0f1f3f |
|
VISUAL
colorHash
|
38007000000 |
|
VISUAL
cropResistant
|
a245869232142951 |
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 4292 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.