Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13873667A1142AA3F118342E1932CD359E3C6DA0AC767498ADBE8439F67C7DE0DD352B4 |
|
CONTENT
ssdeep
|
1536:ABYIwHgDcwE0h4SdWrZyb0WhGqDjkk0QxVuz8Zl:K/6XMjKIl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2506cbe96d696b8 |
|
VISUAL
aHash
|
00003c7e7effd1ff |
|
VISUAL
dHash
|
ec93ccd0cccc238c |
|
VISUAL
wHash
|
00003c7e7effd1c3 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
ccc8d4cccc23628e,84a3f393c8c8dcd4,4561417971690141,17496969696995a5,00454d7171414541,12abed74979da421 |
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)