Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A0235B726332B87843DB91DEB7382A16B2D2989DF8C74554F5C996CD23C3C806297BB4 |
|
CONTENT
ssdeep
|
768:aJ+EsZx8/G8xJ4fDaw0MLBpwCMLBHwZUcix+y9dQpUDF1E56ITmHDLBABW8KPqDr:aJ+EsZ/8xKfDaw0MLBpwCMLBHwZUXx+x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
da5aa4a54a96b569 |
|
VISUAL
aHash
|
f88888f8f8ffffff |
|
VISUAL
dHash
|
0119596911000000 |
|
VISUAL
wHash
|
c0000008f8ffffff |
|
VISUAL
colorHash
|
06c00018000 |
|
VISUAL
cropResistant
|
0119596911000000,0f33bb9b1b930f8e |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)