Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A023952502082A3E76174BECF2F1B33491AEC399D66B465DE2BD12B25B87C94DC372D4 |
|
CONTENT
ssdeep
|
768:8Fl624cIU6Acrcjc8cecLcoNo8WcB64vKHT6U3KHTFUCyeOSfAmuZtqZ2e+cFuI9:8Fl624HMOkZfGXNpZ2e+cFugVQ6Ya |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed6992966c6d491a |
|
VISUAL
aHash
|
fd8f81f193ffffc3 |
|
VISUAL
dHash
|
2139333327280623 |
|
VISUAL
wHash
|
fd8c818193ff9381 |
|
VISUAL
colorHash
|
07400000088 |
|
VISUAL
cropResistant
|
2139333327280623,0101812526664f7f |
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 13 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.