Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FEC24F30A044A93701D3A6D2B7395B4FB2C28385CA271B4E62F8C76D3FE7C55CD2A665 |
|
CONTENT
ssdeep
|
768:+Y449F2qChezUwWNXPrRjQijSrd4ibG2w:3449FiGWNXESitw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c39b1ac999bcc33 |
|
VISUAL
aHash
|
0000001818ffffff |
|
VISUAL
dHash
|
3a0669b0b6a458a0 |
|
VISUAL
wHash
|
000000187effffff |
|
VISUAL
colorHash
|
18030000400 |
|
VISUAL
cropResistant
|
a280820c2cc280a0,9494000000149400,3a0669b0b6a458a0 |
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 21 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.