Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T128D34AB576487973457343D360AA510732AA111FAC0B4D3092ACDFEEE3F9C99A02BED5 |
|
CONTENT
ssdeep
|
1536:Ulmaxf1drz7/lDhmaxKqlUuRNka2wblHbJLwLIz9GguGOjjRnY:UTlD1rX2wd9W/guGO+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bec16ac96ac93269 |
|
VISUAL
aHash
|
fd9f8f9f9fbf8181 |
|
VISUAL
dHash
|
6b343a3e3728032d |
|
VISUAL
wHash
|
f99e8e8a8f9f8081 |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
6b343a3e3728032d,82e0e2b0b08031b0,26d926a6a636a6a6 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)