Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10E53757352477A3B108342D5AB2CB75AA3C1D94DCB9109D3EBEC831E72CBDA0DD2A165 |
|
CONTENT
ssdeep
|
1536:U0Ct0/ocNKIzE626+Q68c6Qy6h/6suznxm/r8ldD9mc3iI1:jQ8Jzl26+Q68c6Qy6h/6sPK1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc1ac2c3e9e8b269 |
|
VISUAL
aHash
|
ff1e8e9b8bff9f8f |
|
VISUAL
dHash
|
49343c33133a353a |
|
VISUAL
wHash
|
fd0e0e01898f8f8f |
|
VISUAL
colorHash
|
07e00010000 |
|
VISUAL
cropResistant
|
49343c33133a353a |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)