Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F3711163B02841061B234DE8E7C039CD7F87934CCD929682B2F65D9D236CFB1A2D55B6 |
|
CONTENT
ssdeep
|
96:kzSPzw/grVRdtXPIl41YeVRmtzqVRqt+qlON1r:kePzwo7dtXPIyeGmtzaqt+qlON1r |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c81537d72ac1ea95 |
|
VISUAL
aHash
|
0000ffffffffff00 |
|
VISUAL
dHash
|
3a32838383030385 |
|
VISUAL
wHash
|
0000f9f9fffff000 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
0000907074308010,8383838301830303,452aba458830b208,8058848558010511 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.