Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T195E24420150A5F7FD0C7B2A337AEBF1DE394E684D637490AF7E45642029BDADC9B9240 |
|
CONTENT
ssdeep
|
768:HmtiB4HOD9TheL/g/H/M/G/c/eqrbI/4jjojDQwJscVVzVaODwhw9IVz+kXLN3lL:Gier6fOkeeuI/4jjojDQ/TgiKK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
966d69926d39b4c4 |
|
VISUAL
aHash
|
000020217fee0e00 |
|
VISUAL
dHash
|
b244616bcc8cdc53 |
|
VISUAL
wHash
|
00043cbfffff2e00 |
|
VISUAL
colorHash
|
1a002200000 |
|
VISUAL
cropResistant
|
2164e4641e5ece5c,0ac0c9c91adaccae,b244616bcc8cdc53 |
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.
Pages with identical visual appearance (based on perceptual hash)