Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12B31EF25202149174B331FD0FAC2ED097DD3FF0ACA0368A0A5E952FD17E9FD2C9495A6 |
|
CONTENT
ssdeep
|
24:hVkFj6p9COLfOoAoccgBJYlxHIgDuVcOWVEVNuJeQ3SVE+BC6+HT:bkINDOFoccgBOfDuDZVymCpz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec92926d6c92c36d |
|
VISUAL
aHash
|
ffffff8381f3ffff |
|
VISUAL
dHash
|
00024c3636420802 |
|
VISUAL
wHash
|
f0f0fe9080e0f0f0 |
|
VISUAL
colorHash
|
07000003180 |
|
VISUAL
cropResistant
|
00024c3636420802 |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)