Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EEE2A4319049693F05ABB3C0F7A1E35BA28183C9E947476642FDC74D0BDEC90ED179A9 |
|
CONTENT
ssdeep
|
384:YgfIIVitIIIII9ZlBVB8IZ1/lt0Y2YqrA2jdFHrfbpW:pfIIcIIIIIU41/bJ2YqrA2k |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e35c1c1971c69e |
|
VISUAL
aHash
|
00e1e7eb7f3c1818 |
|
VISUAL
dHash
|
87c7cfdbf5e5f0f0 |
|
VISUAL
wHash
|
00e1e7ef7f3c1818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3ca9d988c0c,0002e4ccc4400000,87c7cfdbf5e5f0f0 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)