Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T155434F315840E93701DB96C8A6361B6AB2E58349C6230689FBF4C3ED5BDFC6ADE37411 |
|
CONTENT
ssdeep
|
1536:G17wOUwOQDyOREeeeNeee2eeeceeeNYB4mewOsSs2RU79ctm:ySYBpSm7Wm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b252e92d947bc1ac |
|
VISUAL
aHash
|
00000c0c0600c3ff |
|
VISUAL
dHash
|
832cc8cc2c760f8e |
|
VISUAL
wHash
|
0004feeec603c3ff |
|
VISUAL
colorHash
|
01000000e00 |
|
VISUAL
cropResistant
|
6924a2c2e9e42a1b,4569338ecda2828c,831c88c88c26730f |
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 73 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.