Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17212DEE1C144DD3A475296C9FBB56B4B77A1C389CF03094453F4836BEFCADA0CA1169A |
|
CONTENT
ssdeep
|
192:QGbgzYhhjWl8iI4dIMIlDmETIMRz7yIMKEWlc:QxGj617+MIl6MV7/MKEW2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec64939b6c64c36c |
|
VISUAL
aHash
|
fff3c3d3d3ffffff |
|
VISUAL
dHash
|
0026062626000400 |
|
VISUAL
wHash
|
00d3c3c3c0fcf0f0 |
|
VISUAL
colorHash
|
07000000030 |
|
VISUAL
cropResistant
|
0026062626000400 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)