Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A1C33CB52504B45217B356DAA056250377AA413F87179C20327CEFAB93D6CFBA03BD4B |
|
CONTENT
ssdeep
|
768:Jc5GAH4dRyHYYdRiesnnSeJabCrDiYcQvnHxQ15CCXU+fOKoHITsRbgWCo6LVcMK:J+15rZtM0WiDPr1vOq1fVl8N+v7Lgwe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
98a9aaf26b62d269 |
|
VISUAL
aHash
|
0f1f1f03002e0418 |
|
VISUAL
dHash
|
7f373337b2dc8c73 |
|
VISUAL
wHash
|
1f1f1f07187e063c |
|
VISUAL
colorHash
|
30000038000 |
|
VISUAL
cropResistant
|
7f373337b2dc8c73 |
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 171 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.