Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18561C86871400DBDA047C7B0F394BF7E6C5DC34BCA9B5199E6F8C079A392D25DD112A4 |
|
CONTENT
ssdeep
|
48:THrNmTNMic2h40l7Plp1ZcY/E+hFlbKNDXPp4QvuENcWK6oHSENcWKXt/+:TUN+O7frTO1XPp4QvuqDHt/+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
88cc663699dcce99 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
b0ccb2b2b2b2cdff |
|
VISUAL
wHash
|
7f3f1f1f1f1b0000 |
|
VISUAL
colorHash
|
00000c00000 |
|
VISUAL
cropResistant
|
b0ccb2b2b2b2cdff,b0ccb2b2b2b2cdff,4020108842215028,8040108844a251a8 |
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 1 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)