Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T185621D285141473B52B341D9F6F12B2753CBC2C6C6078A8906FE41298FEDDBACC756D8 |
|
CONTENT
ssdeep
|
384:eREFjipB4fVsyBNT7AjmoP/LL1lwntuAmwb3zB2k0UQspS:s16ZUmoHjUlLwUQspS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec939366936c6629 |
|
VISUAL
aHash
|
ffffc3c3c3c3c3ff |
|
VISUAL
dHash
|
8e9c969696a69696 |
|
VISUAL
wHash
|
c2cec3c3c2c2c2c6 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
8e9c969696a69696,e171b034d2a5f2b0 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)