Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FE73D68A5595202A473340E348BB2B9AB6791C7FF43905E1A5BCD7F573ECCB03126A4B |
|
CONTENT
ssdeep
|
768:PyWuP/WyuLs/uZC9fn8+1R5rYQ/m5t1UMrX8UzQKs/kR7PvSuPnWm1qQ5PPkL4Lh:2kJnTWQ2RyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f52d4d246737017 |
|
VISUAL
aHash
|
fc1f0f0f3fff8fdb |
|
VISUAL
dHash
|
cc60785875181836 |
|
VISUAL
wHash
|
7c0307070fff0f83 |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
cc60785875181836,45453b98e46b5545 |
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 471 techniques to evade detection by security scanners and make reverse engineering more difficult.