Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E3C132B2E0549D320B5241C6F7763B7FB9F1C649CB420EA452F8933E5BCADA1CA12489 |
|
CONTENT
ssdeep
|
96:T+DUcBAzDxLSTBJ8v67MSgddt1YUEmSTyGAT431:qHBAzDx2D8iIZdXYUEDs8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ac7c83d601d7817d |
|
VISUAL
aHash
|
ffc3c1c381c3ffff |
|
VISUAL
dHash
|
80171717171700d2 |
|
VISUAL
wHash
|
ff8181818181ff3f |
|
VISUAL
colorHash
|
17018000280 |
|
VISUAL
cropResistant
|
80171717171700d2,4a37330f233335b4 |
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 30 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)