Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16B323133B5009D2A8DEB458CF2C4A689421DD345FB3188CAB2A491FF7BC4DF165993AD |
|
CONTENT
ssdeep
|
192:kii1glrEbc0cC09Q9m1G032SU1vYnUxnMcnthWeNWbZfMmUU8VCoA:ec0cC09Q9dcYKZfMmUFCoA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9b99896666668cdc |
|
VISUAL
aHash
|
243c3c0000000001 |
|
VISUAL
dHash
|
8c32324d0c000001 |
|
VISUAL
wHash
|
64fcfce40c0c0f0f |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
8c32324d0c000001 |
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)