Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C71125235055490B8B235DE479D1464C309BC30CCE931E1867BB8B9D6FFBD45DE2AA9C |
|
CONTENT
ssdeep
|
24:hRxr6tYCo8ggfsRE0wDYuILKRk2Nb9uzmza:Txr6tgkDUuIx2GKa |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
849da5f3c9526ed0 |
|
VISUAL
aHash
|
5f0712187e224773 |
|
VISUAL
dHash
|
a626a4b1f4e49cd7 |
|
VISUAL
wHash
|
5f0716387e226673 |
|
VISUAL
colorHash
|
31601008000 |
|
VISUAL
cropResistant
|
a626a4b1f4e49cd7 |
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 20 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.