Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T161A37833411935274437C6D530A95B3BE2E68D5FFAA70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:97kLz4NP/y9svbliCdYMsCZFtWAuCa2nX2ZP4:4mAzM24 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3439c38bd31e5c6 |
|
VISUAL
aHash
|
002420000000ffff |
|
VISUAL
dHash
|
cce9ccccc8c8cc00 |
|
VISUAL
wHash
|
207c7c206060ffff |
|
VISUAL
colorHash
|
39040000e00 |
|
VISUAL
cropResistant
|
cc0048200134b080,ccc9c8ccc0c8c8cc |
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.