Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13042183190815D672AA7F8D0E0203FAE35A7F30FC15AC4185BFC9A854FC7EB4B825A65 |
|
CONTENT
ssdeep
|
96:TG7vxngo0/pvRV0CSQ0SCgqE7gIQsp8iriGXo0wjIBeb+1jSOiyGbHScYNmibaij:a7JnERo5QPCykZUpXzFE56r |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
899999d972666666 |
|
VISUAL
aHash
|
1818181818181818 |
|
VISUAL
dHash
|
b2b2b2b0b2b2b1b0 |
|
VISUAL
wHash
|
181a1b1ddcfa7958 |
|
VISUAL
colorHash
|
38000000180 |
|
VISUAL
cropResistant
|
b2b2b2b0b2b2b1b0 |
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 17 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.