Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18ED11DA79118183E2A3345DCE66533AA6493F35DCBA6090CE39CD27743ECDA7B963C11 |
|
CONTENT
ssdeep
|
96:TvAVoeVay1tUbOw7Ny/fF+neRYmR949z82SEFEONSDTh+hvb5uST:7AWe0y1tUbB7O5XHodWONSDTh+hDT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ecc7933892316cce |
|
VISUAL
aHash
|
fff3f3f3f3c3c3ff |
|
VISUAL
dHash
|
1826862626869640 |
|
VISUAL
wHash
|
ff8181b1918181ff |
|
VISUAL
colorHash
|
06003000180 |
|
VISUAL
cropResistant
|
1826862626869640,252424a4e4c0679b |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)