Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DEA1B6BAB0D5512B653745D579220F2AB0E2C20EE9630620A9BCD5D45BD9D4CFE133CA |
|
CONTENT
ssdeep
|
96:TG6RBxp210ZOhR74Zule14Z0pHG4Z/o4ZaLm3Fy0OKmALDbnm7HnmDmgfeoBjb/1:a6RnM1gOEoO/NIBKR3mkeo9b/1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
de3934867197691c |
|
VISUAL
aHash
|
00181800b03e3e00 |
|
VISUAL
dHash
|
a4b13388216064ac |
|
VISUAL
wHash
|
141c18f8f0ff7e42 |
|
VISUAL
colorHash
|
39640008001 |
|
VISUAL
cropResistant
|
2d3a3c3a38b6a86c,a4b13388216064ac |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.