Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1982355709045AB3301C776E29236672AB3E18609CB671B443AFD979E4FC7C68DF23259 |
|
CONTENT
ssdeep
|
384:2kEmM8/jdGcOjEGRRgbM1ldMa0E+ERbM1ldMa0E+ESxYAvr6hLDPHstolVol+3FX:CmM8LdGhK8NdvrMkWP07YPyA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d353b6b416e9e10c |
|
VISUAL
aHash
|
0000000000ffffff |
|
VISUAL
dHash
|
9cc8c8d0e40e0f0c |
|
VISUAL
wHash
|
4e20002028ffffff |
|
VISUAL
colorHash
|
060010001c0 |
|
VISUAL
cropResistant
|
488e962b370e4c00,d498c8c8cac0e440 |
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 256 techniques to evade detection by security scanners and make reverse engineering more difficult.