Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12BE20A73E2649533174313D4B192778AE1AAC02D9F558CF0FA9C06E9F3D3CB649325A1 |
|
CONTENT
ssdeep
|
384:AxQwiW26kuDS5Wa8KGct/J0FctVxxQZvfkQv7BY23uTubDbEGUvfIMCECbK:eiW26kuDS5Wa8Tct/J0FczWfkiYQlnEv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b2436ced3c4913b6 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
94c9c9d92f1a272f |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
07600008000 |
|
VISUAL
cropResistant
|
9c9cbcbcb8b29098,2c2f333b2f232f2f,c44229c9c9e9d9d4 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)