Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11EA17201C6495E0DA68714C4F3B0694BE0D389D9C7346AC4B6E6823FADDCED5A8256CD |
|
CONTENT
ssdeep
|
96:Ju7MdGK9jaOQpGHYjHY9NBd5dfw+9PKYB6kav:g7CGKzRswNf5Wkav |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c989889e36763766 |
|
VISUAL
aHash
|
3d3c380000003818 |
|
VISUAL
dHash
|
f1f3f2d0f0f0f0f0 |
|
VISUAL
wHash
|
7f7f783800187c3c |
|
VISUAL
colorHash
|
32007000040 |
|
VISUAL
cropResistant
|
969686b2c0c87171,f1f3f2d0f0f0f0f0 |
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 112 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.