Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BD2207F8722414E2EE0397CBB962327AA043917EDE6255D8D3698758B699CFDCC00DC6 |
|
CONTENT
ssdeep
|
192:QoioBZJ5I9H5ginAMu9cuGRmKbMpBXp7sfgg8gk:QhoWHminPsmMpBZ7eg/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3fc0c26fc1c092 |
|
VISUAL
aHash
|
bd8b8f8181fffffe |
|
VISUAL
dHash
|
793b3f273f9f6102 |
|
VISUAL
wHash
|
8d81838181c3fffe |
|
VISUAL
colorHash
|
06c00010000 |
|
VISUAL
cropResistant
|
793b3f273f9f6102,fcf1fdfdd7dbcabc |
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 487 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.