Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T115E57DD873A2B071839F12D5503F1506F23E9958544C4028F6ACD8EE7AB9ACC52BBF79 |
|
CONTENT
ssdeep
|
49152:sbE0+5cfR41NHVOLQmzKOCdPcby9zBBBf2vagZxs6VouYQlRo:sXQm6ceIR2z |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cca23309369eab6b |
|
VISUAL
aHash
|
013c3c7e38381800 |
|
VISUAL
dHash
|
07e0f0f4f0b2320c |
|
VISUAL
wHash
|
037e7e7e7c3c3800 |
|
VISUAL
colorHash
|
38006000040 |
|
VISUAL
cropResistant
|
07e0f0f4f0b2320c |
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 527 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.