Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DBC382D55618038CA14BDA7DEF2FFE05131FB1AABA5486802A4EC268D5CF8D2F71752C |
|
CONTENT
ssdeep
|
1536:mD0RQ7Hu7OzngahNMlFsR8MLqczsFsR8MLqcMWD:Q0RQ7HslaTdfL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b993c4949393c79a |
|
VISUAL
aHash
|
ff81818381818181 |
|
VISUAL
dHash
|
27233b1b1b2b2b23 |
|
VISUAL
wHash
|
ffc383cb8bc181c1 |
|
VISUAL
colorHash
|
1e4010000c0 |
|
VISUAL
cropResistant
|
27233b1b1b2b2b23,64c4848082828380,037c989a5ccacaa2 |
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 146 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)