Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A5F2FD30A904ED2741DB9AC85676572A62FA8345C6134A89FEF4C3F94BEFC6DCA73101 |
|
CONTENT
ssdeep
|
384:O4r/tsJO5xVZjqTS4e7QNuEHLWriKfFVvT0Guw+sqsOOrKroUa87t:OU/tsIx/jPQ4EuFVvT0HsqsOONUf7t |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
df89b0b0ac83af8c |
|
VISUAL
aHash
|
fffc383838000080 |
|
VISUAL
dHash
|
2ac0407060485c34 |
|
VISUAL
wHash
|
fffc383cbc2c8480 |
|
VISUAL
colorHash
|
07e40000000 |
|
VISUAL
cropResistant
|
2ac0407060485c34,333968c4c681806f,a0c0407060584c24 |
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 87 techniques to evade detection by security scanners and make reverse engineering more difficult.