Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13C721F66334163350A7702C96B99A2D8A731F384A2310EC2E15D50BEDBEEDF2F425B58 |
|
CONTENT
ssdeep
|
384:eacKmHOpRt2a549YvSZf4TkwfUNfMmUFCoOX:eXKmHcRca542qf4IfBUsx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2d292d292d79297 |
|
VISUAL
aHash
|
fe60fe0000000001 |
|
VISUAL
dHash
|
88a8caca18a89899 |
|
VISUAL
wHash
|
fe7cff0048e86a41 |
|
VISUAL
colorHash
|
38088600000 |
|
VISUAL
cropResistant
|
64e6e6cad1e1e4c8,88a8caca18a89899 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.