Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FBD2743922486E3ED66787E5F5B0733DA2BAD28DC2279519F2FD01B117C2C85C837698 |
|
CONTENT
ssdeep
|
384:vY+FlYTYs8ffHYyYYwYDxoD+xA/cEGx/cqSXYyYk4bs4:vY+FlYTYsOv9YYwYDSGAXYyYpbz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ccd9332632dbcc2c |
|
VISUAL
aHash
|
0000383c18180000 |
|
VISUAL
dHash
|
8c107261b0a04a95 |
|
VISUAL
wHash
|
003efe7c3f3d3c00 |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
8c107261b0a04a95 |
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 12 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.