Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10673BE303326993731CF49D565315AAB22B8BB15C803914CF8F893E21BEED89CD77A65 |
|
CONTENT
ssdeep
|
768:EI5M6YpjuIJ/11sOe+GlGOzjvdtLBtY59cfU/lTfxm0btn0lP2lJ2JI6Bm//Rz3:RA9sGOdclBEyj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ce57174e0b8b4e0b |
|
VISUAL
aHash
|
0080fefffb90ffff |
|
VISUAL
dHash
|
711478d9a3a7d8a2 |
|
VISUAL
wHash
|
000026ff7310fff7 |
|
VISUAL
colorHash
|
06200038000 |
|
VISUAL
cropResistant
|
7114e8dca3a7d8a2,96696179796169e0,2753655533331313,3b798cfcf89c6933,1ce146ce4f4fcfcf,9bc16d2581938e12,3d6ef67f69475e79,21058d1921c1670e |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.