Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B97309A83909F6271EB3436720DE14037378122B540D4D60B254FD9EB6FDC9AA16BFE9 |
|
CONTENT
ssdeep
|
1536:sTDOBDklUuRNka2wblHbJLwLIz9GguGOjjRnK:sTiBcrX2wd9W/guGO4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
98895689f1f69b16 |
|
VISUAL
aHash
|
1f1b1f5b1f1b1606 |
|
VISUAL
dHash
|
33b73593b3b3b5a4 |
|
VISUAL
wHash
|
1f1b1f5f1b1b0704 |
|
VISUAL
colorHash
|
1bc01008000 |
|
VISUAL
cropResistant
|
ce92939b8e0e3b30,8000806068600080,800080b030700080,90080092e2649800,4f9c9c0d47061c58,7e713e2f5d456060 |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.