Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T198430D306442993B42C7A9D59236172AA3F18344CA130A49FAF9D7FA5FDFC68CE37160 |
|
CONTENT
ssdeep
|
768:3BsIx/j8gfAs6W5wkxW1dRYGsl1As6s6r4JFwUf79F:xsIxogIXVdRYGslaXXrIFf79F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee2691cb4b5a360e |
|
VISUAL
aHash
|
fdf781d1b1f1fdff |
|
VISUAL
dHash
|
71a5252767659904 |
|
VISUAL
wHash
|
bdf1808130b0f9fe |
|
VISUAL
colorHash
|
07202000080 |
|
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 73 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)