Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C7A276F59685182F2683A1C42656BF6562C38097D686853763F946CE26CCFF0E8CD33E |
|
CONTENT
ssdeep
|
384:dPnSE94y21Ua2WrJxMxiOSwmeKYhnRCTZCGkiD3fiwq0jCKKzIG:dPnp9+yXzEejhGBk23fiwq0B2IG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9307ed0d1717874d |
|
VISUAL
aHash
|
00ffff0000ffffff |
|
VISUAL
dHash
|
e80bc8e8f0f00020 |
|
VISUAL
wHash
|
00ff000000ffffff |
|
VISUAL
colorHash
|
070000003c0 |
|
VISUAL
cropResistant
|
70f0eaeaeaea6161,0c29216153120aa8,923273726e525252,d000082020200049,6161920d61620c20,f0cce8f0f0f0f0f0 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)