Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FCF33AF562D462D89107DBB4E571B866716F35FFEB82C68CC2E44A91B7918AC8CC8DC0 |
|
CONTENT
ssdeep
|
1536:ObeWKH6yHg12DAl9YTiX6mXAKi/rM3i02RbDqKcjnduP7Mt/OfAnyjTu8aSZ5HC5:wlaZcjnduP7ZTu8aSZ5HPm3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c165a11d3e55a4f3 |
|
VISUAL
aHash
|
e26e6200001a7e7f |
|
VISUAL
dHash
|
c6c8ca234df2d0dd |
|
VISUAL
wHash
|
c27e6000007efeff |
|
VISUAL
colorHash
|
39006000000 |
|
VISUAL
cropResistant
|
c6c8ca234df2d0dd |
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 5223 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.