Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1958357603020156611738BCC7EA6EFA770DAE72AC91BA20165EF45576FCBCE07C50FA9 |
|
CONTENT
ssdeep
|
1536:aR5BqnDMEFq1P5hCEfvIdKBF0Q3assaJsD6VgYnYQQPJG6kMhILUXB1K41GZloX0:aR5aItnI+HtL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c73335d8e236633 |
|
VISUAL
aHash
|
1818181818181819 |
|
VISUAL
dHash
|
3232303330323131 |
|
VISUAL
wHash
|
18183d3d3c3c1a3f |
|
VISUAL
colorHash
|
380030000c0 |
|
VISUAL
cropResistant
|
3232303330323131 |
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 698 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.