Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T126428133A600DD2A4DAB56C8F2C496894019C349FB3148C6E1B4A1FF7BC5DF129A93AC |
|
CONTENT
ssdeep
|
192:td4jQxDsixIxMcnthWeNWbI3P9YCZ3XycSsmHtfMmUU8VCoD:T4mUf+CZ3XycytfMmUFCoD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d050edaf32e0e933 |
|
VISUAL
aHash
|
ee7c7e0404ffffff |
|
VISUAL
dHash
|
dcf0d09c8c000c00 |
|
VISUAL
wHash
|
003c0c0404ffffff |
|
VISUAL
colorHash
|
07000000580 |
|
VISUAL
cropResistant
|
dcf0d09c8c000c00,6747476644edbb80,cbdcd3d3d8e0cbc3 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.