Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B3D2B972B144AA7E124B87F9FB40B7BD5166D14EC9678176E3EE037142C3DD1E8212E8 |
|
CONTENT
ssdeep
|
768:4JK9F9xzNaKgkb91D/RJLy/8AMxx7nR34SMc:4JKMKgkb91DpJW/8zgo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec6c5b931b4c6531 |
|
VISUAL
aHash
|
00d3d3d3ffffffff |
|
VISUAL
dHash
|
2b2727270c0c3633 |
|
VISUAL
wHash
|
00c1c1d1e7e7c3db |
|
VISUAL
colorHash
|
070010001c0 |
|
VISUAL
cropResistant
|
2b2727270c0c3633,000008303232320c,7fd6978c999b8fce |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.