Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19D23952554C4223716F393C4BF64AB6BA3C3818AEA425E4553F4871F4BD6F81DC162BE |
|
CONTENT
ssdeep
|
768:Q1x6fnhJJZkTFGqtRKvEHqoiB1Z3MQ38+E5Z34+aMfQv:Q1xoT4RXHqoiZ365Z3qv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f1fa3805cdc6343 |
|
VISUAL
aHash
|
1c00009818ffffff |
|
VISUAL
dHash
|
d45c783030d0181c |
|
VISUAL
wHash
|
0c00809818ffffff |
|
VISUAL
colorHash
|
06010008003 |
|
VISUAL
cropResistant
|
d45c783030d0181c,6f6d2d273c183cbc,454b112949452425 |
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 30 techniques to evade detection by security scanners and make reverse engineering more difficult.