Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13A522BBDB22414919A0347C6BE7223ABE113917EEA6356DCD7648218B399DFD8870CC6 |
|
CONTENT
ssdeep
|
192:QoeoBYJ5J9r8JLF/o/RMBku9cuGRmKbMpBXp7sfgg8gk:QNogwJLFs9smMpBZ7eg/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ea1ed0c3c5e09fe0 |
|
VISUAL
aHash
|
ff018181e181c1e7 |
|
VISUAL
dHash
|
55251d6f4b4f8d0f |
|
VISUAL
wHash
|
ff818181e181e1ff |
|
VISUAL
colorHash
|
31000000188 |
|
VISUAL
cropResistant
|
55251d6f4b4f8d0f,a280c0ae9baa80b2,a5ad3faf8b8b8f8f |
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 490 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.