Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10EF20E30E4549A230373C4C4B4356F1AB4D3F31FC52B4E15A6F856C9AFDACA1BE1A4A9 |
|
CONTENT
ssdeep
|
384:jCQOzK5d6yOzK5dN1+MMMPrHhSzttttEDCCd2vQnSK8TC4MvwDOgtq+QNDDYp6qa:R8K5d6y8K5dy+rwDOgtq+QNDDYpvIdYA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d721784323f4923f |
|
VISUAL
aHash
|
00007e7f3e3c8000 |
|
VISUAL
dHash
|
d833b4cc4ce06023 |
|
VISUAL
wHash
|
00007eff7e7ebc80 |
|
VISUAL
colorHash
|
13600018000 |
|
VISUAL
cropResistant
|
1b1b193aaac96b63,33b4cecedcdcd4d4,786cf0e0e0b0b2b4,d833b4cc4ce06023 |
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 165 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)