Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F97443674219692A4437C3D134699B7AD1A7DE9FFAD30E004EDCCBF62AF9C60740A21D |
|
CONTENT
ssdeep
|
1536:9ugNIsWXUgQmTa3MZo+Hd1+g0QVu+NNlC5DX7WOd+Smfu4/ZT4oU5yD0Lyy5I8Sr:VoOQiQ0fQ2Ltsrtz4YO2j |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
acc6c76d838b9929 |
|
VISUAL
aHash
|
fff7ffffc3c3c3c3 |
|
VISUAL
dHash
|
47861e24960f0e86 |
|
VISUAL
wHash
|
a1c3c7c3c3c3c3c3 |
|
VISUAL
colorHash
|
071c0000000 |
|
VISUAL
cropResistant
|
47861e24960f0e86,080808cccc080808,080808cece080808,100c3232320c1000,61e888aaaeaab2aa |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)