Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11EB38F74A41CA1EE277FCAD3908B110263BCA117742B7830D15EF8FD52EAE69E117E90 |
|
CONTENT
ssdeep
|
1536:JQ2mS3JXmqVr+bYUlUuRNka2wblHbJLwLIz9GguGOjjRnK:m2mS3VmqVr+bYgrX2wd9W/guGO4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a2c3ecc938cb36c9 |
|
VISUAL
aHash
|
ffffe7e700000000 |
|
VISUAL
dHash
|
2b0c4c4d1a10728e |
|
VISUAL
wHash
|
ffffe7e7ca000000 |
|
VISUAL
colorHash
|
02007000000 |
|
VISUAL
cropResistant
|
2b060c4c1810728e,868686aeadadad2d |
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 40 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)