Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19742657092261E3B720B45E4A921A7EFA1AAF709D517980CB3FCC3561BDECD0CD96D60 |
|
CONTENT
ssdeep
|
192:mnA+/6cgZbpfS5XvzYE2CxBJrcPLtaddaKI0G:mA3ZbpK5FxxB2PLtadde0G |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cfc630391966c3ce |
|
VISUAL
aHash
|
8133313838180101 |
|
VISUAL
dHash
|
1a266262727a0612 |
|
VISUAL
wHash
|
bbb33b3b383a0303 |
|
VISUAL
colorHash
|
38000209400 |
|
VISUAL
cropResistant
|
3ff6618383c3c1c9,0f0f470b1f2c8d8c,1a266262727a0612 |
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 261 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.