Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19D334131D52CAD3E6147C2D5E7B4372F32AA83DAFB4B130456B993B856C3D98CD2A094 |
|
CONTENT
ssdeep
|
384:MbotOj7Su1RkIE+TvqN9Qs6O6/kSS+lQISYGUCOAnHPPqiFkcq+bY+VVn:wot3u1SAOdi/GUMvisbYw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc3333cccc3399cc |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
0008103032320c10 |
|
VISUAL
wHash
|
3030383838380000 |
|
VISUAL
colorHash
|
38000e00000 |
|
VISUAL
cropResistant
|
0008103032320c10 |
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)