Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D5A28621D5805A0A669791A0AF62C37F634486C5F28F4BE663F1827ABCCD9F0DC3935D |
|
CONTENT
ssdeep
|
384:O4LPQT+3qkqNqN5mcDGG+l0JtCOeuRBw8+6EW:JL4T8qB4t7bt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9cb6b6b638903696 |
|
VISUAL
aHash
|
463c3c18183c3c18 |
|
VISUAL
dHash
|
9c68703232696970 |
|
VISUAL
wHash
|
7e7e3c18183c3c3c |
|
VISUAL
colorHash
|
38600008008 |
|
VISUAL
cropResistant
|
c44d3b115333b2c4,9c68703232696970 |
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)