Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CB539671E681763B104347D19B34A36BB3C5D60DC75149ABFAEC832A62CBCB4ED26178 |
|
CONTENT
ssdeep
|
1536:J0vaMNcI9gM260Q68c6Qy6h/6uuhHxm/r8Ld37mc3iaz:eSMP9F260Q68c6Qy6h/6urkz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
968d38e3c3c9c3c9 |
|
VISUAL
aHash
|
00003e7e7e6e0000 |
|
VISUAL
dHash
|
6934eccccccc3334 |
|
VISUAL
wHash
|
3d0c7e7e7f7e0000 |
|
VISUAL
colorHash
|
07c00000000 |
|
VISUAL
cropResistant
|
6934eccccccc3334,7c470b4e59b1b634,0f0f0f174323138b,b861c51ad89858e0,a2d6572fdd656f49 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)