Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13502F330700238AB91778AD2B8B15F1C6217D335C74A096CBBA91661AFDECF54972BF4 |
|
CONTENT
ssdeep
|
192:DeUVbygSaSTOSBZnxvErEF65LfrLf+Lf0McfYNqHTzhBeC3D:5YFfnzF65LfrLf+Lf0rCgTzhBeC3D |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cccc666666cd9998 |
|
VISUAL
aHash
|
10183c1800000000 |
|
VISUAL
dHash
|
30b2b2b200300000 |
|
VISUAL
wHash
|
3c3c3c3c00000000 |
|
VISUAL
colorHash
|
38000c00048 |
|
VISUAL
cropResistant
|
c0818c8c98c81090,30b2b2b200300000 |
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 34 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)