Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B611E12250058C5A8B135DD43ED28A4C349F830CCE630E1867FA8ADD6FF6D45CE6E6D4 |
|
CONTENT
ssdeep
|
24:hRxr/tYCVAgrvWNruILotEGNuyG0/cs0pYgTaQtJja:Txr/tNquIeJEjja |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
84bda893ca726fd0 |
|
VISUAL
aHash
|
5f1302007e224677 |
|
VISUAL
dHash
|
b636a6a8dce68cd5 |
|
VISUAL
wHash
|
5f1b02607e226777 |
|
VISUAL
colorHash
|
31601008000 |
|
VISUAL
cropResistant
|
b636a6a8dce68cd5 |
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 24 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.