Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DFE02B8C90554C1946628B20BDC2D76D25924B44A34F2A052EC661EC49D477BD9C91DE |
|
CONTENT
ssdeep
|
6:h4hqIYwgYlfAbpli7FUSjbGYAYvFWmaQaPK+fNgVCk8MEsLgmje97ZMlz:hRwMy7FUSj/TvFpaPK4NgVVJEqgV9FM1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c9c9c9cccc666666 |
|
VISUAL
aHash
|
1818000000000000 |
|
VISUAL
dHash
|
3232081000000000 |
|
VISUAL
wHash
|
3f3f0f0f00000000 |
|
VISUAL
colorHash
|
38000000e00 |
|
VISUAL
cropResistant
|
3232081000000000 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.