Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10F0486F4DA889128902323D5742EBC21F57CA9397FD9CFEC096978D25AB6CDCD4CA046 |
|
CONTENT
ssdeep
|
1536:Kjhgjp2TeAeN0dw0MileMOhgjp2TeAeN0dwRhSm:FmuYD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9918717367636363 |
|
VISUAL
aHash
|
000fffff1fffffff |
|
VISUAL
dHash
|
9830d07070f0d0d0 |
|
VISUAL
wHash
|
000f3f1f0f0f0f2f |
|
VISUAL
colorHash
|
07000008180 |
|
VISUAL
cropResistant
|
32b0807070d0d0d0,0024dad8d8da2488,70c8c81089808082 |
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 5 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.