Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17133A5706324193F25178B98F666B33960AF92C5D65BA42CB17C01735FCACADDCAE2D0 |
|
CONTENT
ssdeep
|
768:8Yn5fX0vx3+VL0KNm+VL0KhaJXQ9+OaKO/XqJVpG9daaEvHI4nZsA5ugFExAJlpq:KJ/CYqfH7EF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3cc3c33c1cc71c |
|
VISUAL
aHash
|
9b8f9f9f9bfbfbff |
|
VISUAL
dHash
|
333b3631330b030b |
|
VISUAL
wHash
|
00010f0f99f9f9ef |
|
VISUAL
colorHash
|
07000018400 |
|
VISUAL
cropResistant
|
333b3631330b030b,4523c4c4d4747175 |
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 68 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)