Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F2620B7AA21411A58F4343C6FE2313EEB207906DAA536AECDB65C21CB3D59FD89309C5 |
|
CONTENT
ssdeep
|
192:QoRKoBS5lF9fUTxTtOx0FDlcW0chNku9cuGRmKbMpBXp7sfgg8gk:Q7ocDfUtYx0tAsmMpBZ7eg/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fd82d78a968ac788 |
|
VISUAL
aHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
dHash
|
3707171f17371332 |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
1b038000080 |
|
VISUAL
cropResistant
|
3707171f17371332,0b17331737215961 |
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 483 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.