Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13E43FC306442993B42C7A9D59232172AA3F58344CA130A49FAF9D7FA5FDFC68DE37160 |
|
CONTENT
ssdeep
|
768:/qsIx/jigEAs685wkxWv7HSsG/1As6s6rWTFGUf7g:ysIxWgTXR7HSsG/aXXrwFZ7g |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee2691cb4b5a360e |
|
VISUAL
aHash
|
fdf781d1b1f1fdff |
|
VISUAL
dHash
|
71a5252767659904 |
|
VISUAL
wHash
|
bdf1808030b0f9ff |
|
VISUAL
colorHash
|
07203000080 |
|
VISUAL
cropResistant
|
71a5252767659904,1d5c74333a302a8f,814193195ddccc2d |
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 271 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)