Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DB722E353000307B52671EDBF251AF6EB5E2914ACB538891A6FD83D89FD3CE6ED2114A |
|
CONTENT
ssdeep
|
384:+DLfi8efmGqCdIFr7KG6NWT5Mve/YJJJvJ4:+CfWCdIFr2G+WdMnfh4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d9c93331919b9999 |
|
VISUAL
aHash
|
6e603c3c18180000 |
|
VISUAL
dHash
|
9885b230b0322a18 |
|
VISUAL
wHash
|
faf0fc7c3c1e0b00 |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
9885b230b0322a18 |
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 283 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.