Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19773537202876E3F218382D1835DF35ED382D50AE7A78557E7EC439B22C7DA4ED261A4 |
|
CONTENT
ssdeep
|
1536:BmLyCJ7cxDcdZ0UHDl9PUg0diXox8t01Ux8RQ8YD:3rHdYKg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e841a1bc356cb6d3 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
96d38b131c37270c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
915456ba922b2b46,38789d9c8c8c8d8f,2422dbe9c5a52732,82a28a969696a882,c53a382327400f0e,968fb3c98b2b3397 |
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)