Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12C42473095012C377E638CD998E0AB0E2DE6C25DDA070699D3E56E9D8FCDC90C45FADA |
|
CONTENT
ssdeep
|
192:zUQ3MePvzKVBa2Z2gQ0NYnznSZ2EYZT4VJVB1syGLUyrhyJiRymLVHwD486Wxloz:ZAYnrSZ2uGLl4foHwF6Wxe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
98e63384dd23983f |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
feefb2b2b2b2de7b |
|
VISUAL
wHash
|
0f071f1b1b1f070f |
|
VISUAL
colorHash
|
0a007000000 |
|
VISUAL
cropResistant
|
336f2b4b6d713b0e,feefb2b2b2b2de7b |
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 7356 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.