Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D9F12FF1E010ED7B476386D9A7B66B0B7390C349CF47094453F883AB9BDAC60CA26599 |
|
CONTENT
ssdeep
|
192:Q7wfSnbzD715lt8iIGtGyD0qaTBYL6YcdcrnrL:Q7wfEnf1ZtG+0ZYcdk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b34c4ce6661999 |
|
VISUAL
aHash
|
ffffffffff000000 |
|
VISUAL
dHash
|
0c0c080c00080000 |
|
VISUAL
wHash
|
e7e7e7e7ff000000 |
|
VISUAL
colorHash
|
07000018180 |
|
VISUAL
cropResistant
|
000c0c100c0c0000,0000000000000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)