Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1798101053C00662A03378BC1B8A16F3F76E2F34BD2499DB1A2F641A41FE7DA3556E531 |
|
CONTENT
ssdeep
|
96:tCo9X8jVGV0Z/CiuAxPGqYz3jRrTCLaye:3cVGV0xCl+m |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a222d5d57f7f0980 |
|
VISUAL
aHash
|
ffff0000ffffffff |
|
VISUAL
dHash
|
0808d14d00110000 |
|
VISUAL
wHash
|
e6000000f0f0f0f0 |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
0808d14d00110000,0000101010100000 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)