Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12353427361416A3F108342D5C738A35EA3C2D64DEB914997EAEC832E76C7DE0EE36164 |
|
CONTENT
ssdeep
|
1536:QPg07VJNRIG6N26QQ68c6Qy6h/6+utrxm/r8LdDXmc3iGj:+ZHuGO26QQ68c6Qy6h/6+zEj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
968f38e3c3c9c398 |
|
VISUAL
aHash
|
00003e7e7e6e0000 |
|
VISUAL
dHash
|
6934ccdccccc3338 |
|
VISUAL
wHash
|
3d0c7e7e7f7e0000 |
|
VISUAL
colorHash
|
07c00008000 |
|
VISUAL
cropResistant
|
6934ccdccccc3338,78770b1e0e31b0b4,0f0f0f174323138b,9818500161656000,b2d6172ed5656949,0024c55556762410 |
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)