Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A5B1767BA0146467130346E47792339C90D362EFCBB5B8C5F1A9E1A697E8CD0543698E |
|
CONTENT
ssdeep
|
96:rJigzePk6R7jLk+kskwkgkfk9Fgk1aQe0eSwsq3KByON1r:lig6PkqLk+kskwkgkfk9Ok+qwsWON1r |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
88dd23dd22762277 |
|
VISUAL
aHash
|
1818181818181800 |
|
VISUAL
dHash
|
b2b2b2b2b2b2b24d |
|
VISUAL
wHash
|
da1ada5a5a5a181f |
|
VISUAL
colorHash
|
31000000038 |
|
VISUAL
cropResistant
|
72f2ae93e25abaa6,b2b2b2b2b2b2b24d |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.