Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11452E8F2C0E846F5A50687D899B2962272B404F7EB0BE329C8E6C2D17D9EF55CC64417 |
|
CONTENT
ssdeep
|
384:jP6wB6il1rbztqjUoVRiil1rbztqjU0ukQ0eTke:jkiPGbmiPGTGhge |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dda323ab98d422d5 |
|
VISUAL
aHash
|
fcf8f0f8f0e0c0c0 |
|
VISUAL
dHash
|
0000000010000000 |
|
VISUAL
wHash
|
fcf8f8f8f0e0c0c0 |
|
VISUAL
colorHash
|
00000038000 |
|
VISUAL
cropResistant
|
0000000010000000 |
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 82 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)