Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F853123432415E7B91C78BB0B3619FBAA2D9C769DA17DA48B3F8D3452BCBD818E40750 |
|
CONTENT
ssdeep
|
384:o9Q1w8BdY0EjUuXV2LU6ELrBXEzNi/VRwHqMuFhlJg9eYCuqZtdaD+kroUa87uzK:o9QwiY0IUuF2LncdEqHzuyUf7u+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c175361d88f3cec1 |
|
VISUAL
aHash
|
4600787878386661 |
|
VISUAL
dHash
|
d624c0d0f0f0ccc5 |
|
VISUAL
wHash
|
6200787c7c7e6e71 |
|
VISUAL
colorHash
|
38002000090 |
|
VISUAL
cropResistant
|
d624c0d0f0f0ccc5 |
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 43 techniques to evade detection by security scanners and make reverse engineering more difficult.