Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B502AA30E097193B02675CC0A866AF9F76A3E30DC91B50402EFD839A2FDBDB4F915566 |
|
CONTENT
ssdeep
|
192:nw6Gz6LEiZiBww9CnZXarVX3q082l82K82Xy6:vwiZiOw9CnJarVX3q082l82K82Xy6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d58580852bfd7e2a |
|
VISUAL
aHash
|
ffff00000000ff00 |
|
VISUAL
dHash
|
c29271423008b255 |
|
VISUAL
wHash
|
ffff00fe0080ff00 |
|
VISUAL
colorHash
|
30000038000 |
|
VISUAL
cropResistant
|
c0c0c0c000820202,0000083232300800,c29271423008b255 |
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 44 techniques to evade detection by security scanners and make reverse engineering more difficult.