Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T169811535510C8D35E06382CCE366733E15AB9146D74E12089BD8477E9AAEDCAEC371CC |
|
CONTENT
ssdeep
|
48:gNmTNMGUu4+QJHHxgP/2dcDYmEs+21M5aSJSJSFtkdl11UwqjFzwqj+t:9U1kH2KmsVxSJSJSvO1Uwq5zwqY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3c4cfce03c93334 |
|
VISUAL
aHash
|
ff0f0f0f0f0f0f0f |
|
VISUAL
dHash
|
4c8d1ddb9f3d3b5d |
|
VISUAL
wHash
|
ff0f070f07070f07 |
|
VISUAL
colorHash
|
07380000000 |
|
VISUAL
cropResistant
|
4c8d1ddb9f3d3b5d,c8c4c6ce4f6767b0,2f0ef2d4c4e48098,528696d6e8061618 |
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 16 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.