Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BBA2555221484A96C2F34C9898113A41B182E74FC87146B0D2BC4E7B1BE7AB577ADF7F |
|
CONTENT
ssdeep
|
384:2xpt1GyP9bqKvcXg2FcXIgvnZJ0CiLE9SbghkvuHpOW:CvJ2FS+uEivHpB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2ad09d22dd227ad |
|
VISUAL
aHash
|
fffffffffffcfc00 |
|
VISUAL
dHash
|
9686060c16090937 |
|
VISUAL
wHash
|
00ffc3e7ffe4c000 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
96e0160c140c0911,0909110109373736 |
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 9 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)