Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17D12017199506A37A6D3C3DAAB717B0BBB91C287C98B0146D1F8D34E4FD2E72CC02256 |
|
CONTENT
ssdeep
|
192:fKf2HVr6bOeMMzSa6vb0JM4iCo0JymhCF0J3v+QP7R:jHVrdeoa6bAM45oAymcFA3vBl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e49b9193c49b9b64 |
|
VISUAL
aHash
|
f3f3f3f3f3f3f3f3 |
|
VISUAL
dHash
|
4626262626262626 |
|
VISUAL
wHash
|
93838383e0f080f0 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
4626262626262626,c1c0d2cc8cb4f47c,0101010101010101,01617179393131b1 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.