Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DDD29371A1106B3F12A3C3C87351B71EA2D3924DD686081693FD87AE4BE7E50ED1356E |
|
CONTENT
ssdeep
|
768:6SXy5NC9BZ0gE1U16qnWKI8Azo8mFn7sOy2+y9BH4crIe:1BZ0gE1U1BWKIrzoJn7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c76bfd32d0289683 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c49c3c3cc6cb600 |
|
VISUAL
wHash
|
80fd31300406ffff |
|
VISUAL
colorHash
|
31000200038 |
|
VISUAL
cropResistant
|
008080084c808000,1c09c3c3c3ccec36 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.