Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T182D2857062550A3E925346E4F2B0BB7C51ABD7CDD90FD4ADA2BC01235F8FC89E9271A4 |
|
CONTENT
ssdeep
|
768:lWJ+J7NUwzywXuP4PYXP9PNVPS5P29c2O4RiRvRGRYRRR/R6RNRrRbR1RV+k59:lWQUwzyQCPk2OgP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c19736343cc5c3e6 |
|
VISUAL
aHash
|
0620787878707000 |
|
VISUAL
dHash
|
94ccc0f0f6c0e423 |
|
VISUAL
wHash
|
46367c7e7e7c7000 |
|
VISUAL
colorHash
|
380030000c0 |
|
VISUAL
cropResistant
|
3b3b54714ab21a4a,b2314d4d5352b2b3,94ccc0f0f6c0e423 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.