Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T194D3DCB1C25A323B022B4DD874715B4BB6E3C34DDE574A0167FC87DA5FEAC94EA0148A |
|
CONTENT
ssdeep
|
1536:20aA4paa6aT4Ir9+iPOo8enruk1vNQ8GhWa6Vav3Wfw1Jq0X2X09ftFMz57lkWay:de68F1a6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ba3ac5c5c56436c6 |
|
VISUAL
aHash
|
ff878387ffffffff |
|
VISUAL
dHash
|
653b3f1f032b2323 |
|
VISUAL
wHash
|
b7818181e7ff8383 |
|
VISUAL
colorHash
|
07400000201 |
|
VISUAL
cropResistant
|
653b3f1f032b2323,6b6329b9bd3d6169 |
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 37 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.