Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15373537611426A3F109382D19768E35AD3C3D70AC7A7894AE7EC831B3BC6DA1DD351E8 |
|
CONTENT
ssdeep
|
1536:g0ODbmrDcFj0J4ZTqyMyG0OgG41bb709xVuz8e7:xq9g0bsS7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2506cbe96d696b4 |
|
VISUAL
aHash
|
00003c7e7efff1ff |
|
VISUAL
dHash
|
e493ccd0cccc23cc |
|
VISUAL
wHash
|
00003c7e7effd1c3 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
ccc8d4cccc238c86,84a3f393c8c8dcd4,4561417971690141,00454d7171414541,12abeb1595b52a92 |
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.
Pages with identical visual appearance (based on perceptual hash)