Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T162235B726722B4B883DB91EEF73C2D56B2D1988DF8C74450B5C95A8D13C3C816297BB4 |
|
CONTENT
ssdeep
|
768:al+EsZx8/G8A46DawPMZBYwIMZBxwZqN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKAT:al+EsZ/8j6DawPMZBYwIMZBxw0N2/y9C |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf2f3fc0c0d0c0e3 |
|
VISUAL
aHash
|
810081ffffffffff |
|
VISUAL
dHash
|
7f717d20173f3939 |
|
VISUAL
wHash
|
000000ffc7c3dfff |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
7f717d20173f3939,fffffbb3fff9ffff |
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.