Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17432EB7072905A7B91CBD2E1B275AF5AB2C8CB4BCA5BD701A3F983845FC7C91DC88254 |
|
CONTENT
ssdeep
|
192:KZ6eASPaLNGHnC/MnwswaocZDJ3O5uxTRWAwzDfS:s6mjHnCEnwIZ5zJRWAwzDq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333333399cc6664 |
|
VISUAL
aHash
|
e7e7e7ffe7e7ffff |
|
VISUAL
dHash
|
4d4d4d124c4d120a |
|
VISUAL
wHash
|
c0c0e0e803032b3b |
|
VISUAL
colorHash
|
07200000030 |
|
VISUAL
cropResistant
|
4d4d4d124c4d120a,33b4db89d9f5cdcd |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.