Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F30262F1E054DD330B5281D6B7B63B2F76B5C245CF020A6452F853AE5BCFCA0CA22999 |
|
CONTENT
ssdeep
|
96:TkL6wzYtqOST3y3T98v67ZPeSF7ncCFVSXCHF5Vj2XIX/eoST6v+AT431:QWwzYtkU58iN7nc45X2hmp8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
837e01fe81fe80f8 |
|
VISUAL
aHash
|
0000ffffffffff7f |
|
VISUAL
dHash
|
48000060608000d0 |
|
VISUAL
wHash
|
00009f9fbf7e003f |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0040504848500000,2020606000c000d0,0000000000000000 |
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 60 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)