Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T185A395B0A543E83701B782D0A1769B2971E2634CCA530692FBFDC3F94BDEC69F926154 |
|
CONTENT
ssdeep
|
1536:3I44is2R9V3JjqsH1vtyDM1A/xxU47ByPiZTicoZLUpfZlk/rGzNOq/l1mQZORZ8:fJ3J/t/SPj7P |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c782dc83c7683f2a |
|
VISUAL
aHash
|
7e7e007020000080 |
|
VISUAL
dHash
|
e0d413c0c8588020 |
|
VISUAL
wHash
|
fdff2373f08040c0 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
e0d413c0c8588020,105153554d515111 |
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 78 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.