Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T145514231A10C0C3F6213CED0E660772D26EB829DDB471928A5B503BAD3DAEA5D0675E8 |
|
CONTENT
ssdeep
|
48:TXXNmWcjU24uiIdQrFg+vZmuzcQQNmcNP3s0NcWVz:TXdeBXiUCFBmuoQQ3NP3k+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc3333cccc339999 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
0008101432300c00 |
|
VISUAL
wHash
|
fce4d8d81b1b0327 |
|
VISUAL
colorHash
|
38000038000 |
|
VISUAL
cropResistant
|
0008101432300c00 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)