Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18FA5C79737A83523056E70E3F65B9555ABE9C0987100B4C1F9ACDBD818A0D28C7BECF9 |
|
CONTENT
ssdeep
|
49152:6DXKgof7kQSivDi6WlVreHPDEToZDXKgof7mfAOjDXKgof7Ft:sEfAOa |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc663399cc666699 |
|
VISUAL
aHash
|
0000101818180000 |
|
VISUAL
dHash
|
2058a4b2b2b24c30 |
|
VISUAL
wHash
|
010119193d3d0101 |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
a4e584bab2ea3632,2058a4b2b2b24c30 |
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 365 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)