Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T133E1B531C084280F735391CAF262A36AB0D3C64DEB375A94A7D953E9D3D9E95C83728D |
|
CONTENT
ssdeep
|
96:TyESTBSZd99e9X+nkHnFkI2bkGplPNIfPjMstUM9rrpdaEj0yMW/hXY46csEpXON:uLMZd99e9un8+Nx7orprjf/1in1lZj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb6e666666646c44 |
|
VISUAL
aHash
|
000f0f0f0f0f0f0f |
|
VISUAL
dHash
|
9b5b1bdbdb5b5a5a |
|
VISUAL
wHash
|
0f0f0f0f0f0f0f0f |
|
VISUAL
colorHash
|
030001c0001 |
|
VISUAL
cropResistant
|
0000000000000000,cc888c3307878080,9b5b1bdbdb5b5a5a |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)