Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1384159B28085EB639283A1E0DB76271BB3C1C645CE5B0B0166F893EE5FDBD94CD1B116 |
|
CONTENT
ssdeep
|
24:hAOSNEKUcDPiQ+NB8EYCQp26BS9Fp26BS0d/p26BNLu5h9y6Tt4T11Zixm:pSVhDKNrFQLBuFLBTRLBdu/86TE1Um |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e3ce1893639964ce |
|
VISUAL
aHash
|
e7e7e7e7e3c3c7c3 |
|
VISUAL
dHash
|
0e0e0c0e0e9e9e96 |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07018008200 |
|
VISUAL
cropResistant
|
0e0e0c0e0e9e9e96,2d242034bececfcf |
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 62 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)