Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EC0242E1C044DC3B531385D6F7F56B1FB592C349CE020A8853F852AB57DAC60DA27B9A |
|
CONTENT
ssdeep
|
96:Tkj9HmohOhHWfeGUY58bV52fwvlgexXXeHlVeRXMHl2jkX5z/R2phQTKhfqbmJkJ:Qj9HmohOhHW1Utbio1eWuu8zsQT6iaJi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be3eb594c4c29ca1 |
|
VISUAL
aHash
|
9f8181b9ffffffff |
|
VISUAL
dHash
|
27333329948d89c0 |
|
VISUAL
wHash
|
9f8181995f44e4fc |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
27333329948d89c0,03386ce2e160380b,006b6068036f6869,07d1c9e3e9c8c803,64b41cccc4e3f1e8 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.