Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T170F2C431D106793F19ABA3D0E6B5B35EB2E586CDE943022583FC878D1BCFC90AD06596 |
|
CONTENT
ssdeep
|
384:7be1qe+ciwIIKp19mIIIII9slBrmdk3ZdGKH+JT1EYxPuB6fSii86hm35PFLbMgO:MIIbIIIII6ZETmBQt94aUylg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e35c1c1971c69e |
|
VISUAL
aHash
|
00e3e7ef3f3c1818 |
|
VISUAL
dHash
|
8fc7cfdbf1e1f0f0 |
|
VISUAL
wHash
|
00e3e7ef3f781818 |
|
VISUAL
colorHash
|
31030000000 |
|
VISUAL
cropResistant
|
f3e3d3ce9c988c0c,0000606161600000,8fc7cfdbf1e1f0f0 |
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 38 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)