Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T103728672714C1248261778E2D0E677AAB72E153EBF8348F07465CD1DD6AC76FA032AA4 |
|
CONTENT
ssdeep
|
384:F1j0xDJns082EKoBonoJoBonoJopo8hTmxiS8RMR8c8gU868g88c8gnBAQWHtG9C:Fx0xDJs082EFmoemoe+8hTmjRVzUJz8+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e9c1873cd3696c32 |
|
VISUAL
aHash
|
ffff81818181c3ff |
|
VISUAL
dHash
|
022313133b332300 |
|
VISUAL
wHash
|
ffc381818181c3ff |
|
VISUAL
colorHash
|
17070000040 |
|
VISUAL
cropResistant
|
022313133b332300,0f33333f2f2b2360 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)