Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18643FD306442993B42C7A9D59232172AA3F58348CA130649FAF997FE5FDFC68CE37161 |
|
CONTENT
ssdeep
|
768:tOms0sIx/jlZEAs6h5wkxWcA0TFvs1As6s6rzRBF1Uf7x:Ims0sIxhZTXrA0TFvsaXXrznFS7x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee2691cb4b5a360e |
|
VISUAL
aHash
|
fdf781d1b1f1fdff |
|
VISUAL
dHash
|
71a5252767658904 |
|
VISUAL
wHash
|
bdf1808030b0f9ff |
|
VISUAL
colorHash
|
07202000080 |
|
VISUAL
cropResistant
|
71a5252767658904,1d5c74333a302a8f,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 45 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)