Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10F832BA43615B5270AB343A720DF1503B379131F940E4C70B254ED9EA6FDC9AB067BDA |
|
CONTENT
ssdeep
|
1536:cOyUx7lUuRNka2wblHbJLwLIz9GguGOjjRnK:nXrX2wd9W/guGO4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bda9fa6a288a4aca |
|
VISUAL
aHash
|
c3efff0300003080 |
|
VISUAL
dHash
|
1f16661616686820 |
|
VISUAL
wHash
|
c3ffff8782a0b080 |
|
VISUAL
colorHash
|
30007000000 |
|
VISUAL
cropResistant
|
1f16661616686820 |
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 345 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.