Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13D820FB4A55AC87F10B392E145F5E32F72D19399CA030E4827F88B698FDEE50BD19125 |
|
CONTENT
ssdeep
|
192:y9wbzSmwyBUSpfmM16LBUDW3e6TqzAN15o1B5v:PmR8USpfmM16LXpTgANno17 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c375827528d72cd6 |
|
VISUAL
aHash
|
3c20000000007e3c |
|
VISUAL
dHash
|
ccc023d8ccf0f0f1 |
|
VISUAL
wHash
|
7e3c1060283c7e7f |
|
VISUAL
colorHash
|
300000022c0 |
|
VISUAL
cropResistant
|
9d66d3a9c15479c1,9c66d3a9c15479c1,65c2a988daf23c4c,e4e3a884d2b81c23,ccc023d8ccf0f0f1 |
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 44767 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)