Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15D534F5A330463760E6302D15648B7DEA324F28863564ED0B55E80BDEBEB9F3B136F58 |
|
CONTENT
ssdeep
|
768:gvIughA2hiVKhLnK1TuHRWMhk08/qEwKi2UvjCLpQ7T0ZilmfHPnF8MYV:Uga2h6wRW+k08SEhiNurZnF8/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d8f936273730c196 |
|
VISUAL
aHash
|
42fcfcd81800141c |
|
VISUAL
dHash
|
94b0b0b269c47575 |
|
VISUAL
wHash
|
c2fefcfe1830141c |
|
VISUAL
colorHash
|
06038000200 |
|
VISUAL
cropResistant
|
5252aba9092b222a,fefefaccccfafefe,94b0b0b269c47575 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.