Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18AE3C8A462A217737217C7D0F1219B8AF0DAF78CC35FC90593F8A2E59BCEC84D949A51 |
|
CONTENT
ssdeep
|
3072:O/Prlh8l1k5u/WmHSused7u5+Vuesc1G+T:h0mHlEesk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3b8aca7b0b8c3e4 |
|
VISUAL
aHash
|
ff00686c60680000 |
|
VISUAL
dHash
|
a300c8c848c820c0 |
|
VISUAL
wHash
|
ff2078fcfcf82020 |
|
VISUAL
colorHash
|
38200038000 |
|
VISUAL
cropResistant
|
c2c0ababab2b2b27,34c0c8c8c8c820c0 |
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 218629 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.