Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AAC14270304238915A376BC1F8914F0C2553D335DB82191AABB52F216FCFCEE99B1BA4 |
|
CONTENT
ssdeep
|
96:luusPcbbRgSomraqvisLWjK8nbJC49qTDc2bJS3ZcQK1nWvEf8A9xSqPyjcz0jXN:lWcbbRgSomraOisLWjK8nbJ3MDc2bJ2l |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e68c33cccc6666cc |
|
VISUAL
aHash
|
e7e7e7e7e7e7e7e7 |
|
VISUAL
dHash
|
4d4d4d4d4d4d4d4d |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
06000000038 |
|
VISUAL
cropResistant
|
4d4d4d4d4d4d4d4d,9033060600900082,b231000000000000 |
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 39 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)