Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18741FCB08121EA3716E3C2D1B2F6972F72C08A89D687134257F8836E1ED6EE6EC15094 |
|
CONTENT
ssdeep
|
48:9ZwuIv9GfZ10x13FIdJbZAhVVxvuCa4xDGXEU:96p8K1IdtfCaFn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
98180f0fa7b3b999 |
|
VISUAL
aHash
|
00008ccfffffffff |
|
VISUAL
dHash
|
3b31392912211111 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
07600408000 |
|
VISUAL
cropResistant
|
3b31392912211111 |
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 2810 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.