Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DF9275315886793B62A313C1D742A72FA2D48244D50B8A56DBFDCB6E1BC7E81DF23305 |
|
CONTENT
ssdeep
|
192:HmpUdKyHPUjicuJBJps3vQPEzdlQJ0bD1pXc4OyV52Pt3:Hmpk8jicuJfMzkqbDzX7OyV5a5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c453534479716ed3 |
|
VISUAL
aHash
|
00ffffdbfffbff00 |
|
VISUAL
dHash
|
86e068163635c432 |
|
VISUAL
wHash
|
007e27131b33ff00 |
|
VISUAL
colorHash
|
00030000000 |
|
VISUAL
cropResistant
|
f0e80d967437e4d0,8699d896a6aa9140,a1166564e6667ab9,235191c9451b0444,6b3841a9c9e90903,4c32b24c30b2300c |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.