Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17212F5394084163B4A170ECDF9F0971EB1DBC00DED97E982E7B883C587C1E99CC995AA |
|
CONTENT
ssdeep
|
192:ZmnTqs74QXkcBLwc7402bckrZHnc7pHPhy9aenTqs/:ITq84QXkcBLb7402bckrZHosAeTqI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
baf60679a700ef81 |
|
VISUAL
aHash
|
07078f8f8f8f0f07 |
|
VISUAL
dHash
|
2d3d1f1d1c1b3d7d |
|
VISUAL
wHash
|
07070f8f8f8f0f07 |
|
VISUAL
colorHash
|
07200000180 |
|
VISUAL
cropResistant
|
b7b3fdf5f0e5f7b6,b3a25accb48404fc,a0c8c878b874c68e,4a0c96969686867e |
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 349 techniques to evade detection by security scanners and make reverse engineering more difficult.