Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A2A194326048685E5196C692A6F2FB25C3A9C140C6600D91D09E0FDF6EC4FA4F6F33DE |
|
CONTENT
ssdeep
|
96:vnuj1Suj2Gs10aVJlUtXXrU0dcIdSlEUtYVEuFAFNQL7:vny4y2Gs10RtOiFFEQL7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc71659333cc7299 |
|
VISUAL
aHash
|
001818181c3c3c18 |
|
VISUAL
dHash
|
727132b279617171 |
|
VISUAL
wHash
|
183c3cbe3c3c3c3c |
|
VISUAL
colorHash
|
30000038000 |
|
VISUAL
cropResistant
|
d6def4cc8c888808,ccc9d9e171756647,43702292f2cec6e8,727132b279617171 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.