Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B0F209F0326052DC860787B0F9A19D38A4AFE1FEEE9BD868D29805E597D3CDCCD81855 |
|
CONTENT
ssdeep
|
384:xwYrU/92R/UmTDGvoTnlC94vFBHGgFuUoKH2wInSD1SnOJnEaT9YucuL6cg3bw0P:22R/UwDGwvm2VlN9H6X39OIcmBGda |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
996666989b66ccb2 |
|
VISUAL
aHash
|
8000181c1c180000 |
|
VISUAL
dHash
|
31307030b0b20031 |
|
VISUAL
wHash
|
bd3c3c3c3c3c008d |
|
VISUAL
colorHash
|
380000300c0 |
|
VISUAL
cropResistant
|
9000114d4d0d00a2,31307030b0b20031 |
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 348 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.