Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EFF1F0E1D014ED37436385D9A7F67B1B76E1C349CE02094493F883AB5BDEC90DE22A99 |
|
CONTENT
ssdeep
|
96:Tkfe1DtSTBEWhUSPRr8v67opSFtGOlg6XIHFo3yXGdHFKCXs4/JN0ZfY3z1mSTyR:Qfe1DcVB8idtGfy+4EVgz1Dk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dc5c5cf6f2723280 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
73b2320c00000000 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
41a2a2a2a2a2a241,82a2a2a2a2a2a200,82a2b28c32b2b2b2,0000000000000000,4170b2b2b2b25428 |
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 64 techniques to evade detection by security scanners and make reverse engineering more difficult.