Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E2C34233A175D82A1CCB46CCF2B06B4D258EC306FB3245D951DD93AFA6D9CE4A9017AC |
|
CONTENT
ssdeep
|
768:u1tmuqtmuHmunj4JZuZOo5nCkOolskVdbaNUJjWfGqqFBgjhPSeQ1Nijcfeb:u6uDuGunykooxzCIduS71NijSk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dba4944b5754b45a |
|
VISUAL
aHash
|
3efffff8f8f8f8f8 |
|
VISUAL
dHash
|
646a96c9c9c9c909 |
|
VISUAL
wHash
|
1c1cff383818f8f8 |
|
VISUAL
colorHash
|
0e200040009 |
|
VISUAL
cropResistant
|
646a96c9c9c9c909,61017931714d0145,85949ada4a1a2d25,4c5c585933656949 |
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 3735 techniques to evade detection by security scanners and make reverse engineering more difficult.