Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T172235B726332B8A843DFA1EEB7382A45B2D2989DE9C74594F1C95ACD13C3C8021977B4 |
|
CONTENT
ssdeep
|
768:aN+EsZx8/G8aKpKB4cDaw3DM6BwMw3vM6BwlwZqN2/y9dGDTDiJE56ITmH+LCBlq:aN+EsZ/8a6tcDaw3DM6Bjw3vM6BCw0Ny |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cbd05ae6a59ac1b4 |
|
VISUAL
aHash
|
f9f9f9f9f1f9f9f9 |
|
VISUAL
dHash
|
c331333b63433133 |
|
VISUAL
wHash
|
f999199931f99911 |
|
VISUAL
colorHash
|
06000000c00 |
|
VISUAL
cropResistant
|
c331333b63433133,474173174e436177 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)