Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T146B214741583EE7744BBE3C09A39CB17B3C1A6A8CA67070557F9938C8FEAD91DE04906 |
|
CONTENT
ssdeep
|
384:rQ93HyAMAkUObGPv0/mPquok9iU0jgHoGOw:rQ93vMZtWpOw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b232cdcdc132b03f |
|
VISUAL
aHash
|
7f000707ffffbfff |
|
VISUAL
dHash
|
8079bdac6ec471e0 |
|
VISUAL
wHash
|
7f00070707ff017f |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
8079bdac6ec471e0,ccc2baded69a8292,9e98cabaaac2a0b0,0000101010100800,c6a6e4e4c4c8a5ad |
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 1162 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.