Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B8234DE83915F21157F382A740EF2817733E651F680E4960A258EFCF65B449AB0A7FC9 |
|
CONTENT
ssdeep
|
768:8hwqLfL9OYjyYjuYjbYjoJCUWv+p4yTMHeIv6RGzHUKBoUzqH4Jeb9QOld:DrryTDqeQE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99cc663399cc6633 |
|
VISUAL
aHash
|
000018181c000000 |
|
VISUAL
dHash
|
100c323232040000 |
|
VISUAL
wHash
|
30303c3c3c300000 |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
100c323232040000 |
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 515 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.
Pages with identical visual appearance (based on perceptual hash)