Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18FA38933411935274437C2D530A55B3BE2A6DA5FFAA70A010EECD7EB1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:JJjp8BuaXLOXlHaL9+BV2wQaQSZEN6TmGLz4NP/y9svbliCdxZ4NnP7bFtiuCa25:XmA/zw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b412c7ed92b869b2 |
|
VISUAL
aHash
|
3e140e8ecff3fffe |
|
VISUAL
dHash
|
e4f43c3c1e37379c |
|
VISUAL
wHash
|
3c00048ecff1d3fe |
|
VISUAL
colorHash
|
070010001c0 |
|
VISUAL
cropResistant
|
e4f43c3c1e37379c |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)