Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19F525438304378A7A3334AD1E4E15F1C2177CB36C6552E29BFE02695AFCDCD449A27A9 |
|
CONTENT
ssdeep
|
384:EnECIIEfBAPV+AMA6e1ezxlPYMof8Msqz2/FttxFG5LfUE0wLfZEDLcLfZEbL9rc:QIIEfBAPV+AMA6e1ezxlPYMokMsqzGFU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dde266a289d96626 |
|
VISUAL
aHash
|
f8f8f8d8e0d8d8c0 |
|
VISUAL
dHash
|
0000283008301000 |
|
VISUAL
wHash
|
f8f8f8f8e0f8c0c0 |
|
VISUAL
colorHash
|
07007040000 |
|
VISUAL
cropResistant
|
0000283008301000 |
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 193 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.