Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E5C2C831A1106A3B129B82C9B771A32BA2B3834EEB57051153FD83AC4BE7D94CE33557 |
|
CONTENT
ssdeep
|
384:FSby5NgUisIDgZIGg8VkKTReXMKz7FDCe48/YIYsOy2+y9BH4cUUIe:FSby5NgUish7dw31Q7sOy2+y9BH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d361fc32cd1c90e9 |
|
VISUAL
aHash
|
002000000004ffff |
|
VISUAL
dHash
|
9ccccce8c8dc3c00 |
|
VISUAL
wHash
|
40fe6400600effff |
|
VISUAL
colorHash
|
390410002c0 |
|
VISUAL
cropResistant
|
ca714d4d4d715596,1080800458988000,9cccccc8e8c9dc3c |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)