Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T143243A793641B62307EA82DB506B8043F3695569280E093CB66CDCDA757898A71FFFF0 |
|
CONTENT
ssdeep
|
6144:nrhg+rxwRkADhoz/dasuPyHDUmwJJd3+GRhLfcKQCdgdo5jeXT29MDRnxNwD9r+w:G+rmRnyHDUmwJJd3+GRhLfcKQCdgdo5x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8ad07f0f7c007c7a |
|
VISUAL
aHash
|
00ffffffffff0000 |
|
VISUAL
dHash
|
6080800011d15111 |
|
VISUAL
wHash
|
00ffffff113f0000 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
e0808080001151c0,0000000000000000,0040002020002020,0008101010100800,96494955512820c0 |
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 39 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.