Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T187E2C532D019A93F069BB3E1A771A36A73C6838AD943171A42FDC74D4FEBD90DD0A494 |
|
CONTENT
ssdeep
|
384:pWy1II19IIIII91lBYY7HyP3c0l+g01OCrkCwREZqQPfWpW:sy1IIrIIIIIxHyP3chg01NrvnqQnx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
86e3791c9c396396 |
|
VISUAL
aHash
|
00e1f7ff7f181818 |
|
VISUAL
dHash
|
87cfcbf3e5f1f0f0 |
|
VISUAL
wHash
|
00f1ffdf7f181810 |
|
VISUAL
colorHash
|
19038000000 |
|
VISUAL
cropResistant
|
f363d3cadd988c8c,0002c8fcd4440000,87cfcbf3e5f1f0f0 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)