Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T164F2B76A13982B3D551387A8F6A1F3385169C38AD27B912DF27D03B612C7D89EC371D8 |
|
CONTENT
ssdeep
|
384:dO3gnPEXMdGxOdBojk4weJtUBG2NjaNcFK:dO3gnsMUgdWo4weJ4GkaNcFK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8507df2a49da36a9 |
|
VISUAL
aHash
|
ff0707000007ffff |
|
VISUAL
dHash
|
6beecec4dedc335c |
|
VISUAL
wHash
|
bf0707000007ffff |
|
VISUAL
colorHash
|
07400000082 |
|
VISUAL
cropResistant
|
736aeeeecececcd6,ffffffdefefeffff,e1a8cceee6337cf8,d2dbdcdf203dcc4a,0020127169611000,eeeececec4d2dfdc |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.