Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T132C296B2E010363B0293C3C67362B72FD2E3D38DE68A191552FC875D5BA6E50DE1355A |
|
CONTENT
ssdeep
|
768:6SCy5NPNXJPQJ7Dgjyo7sOy2+y9BH4c1Ie:nX2ojR7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363bc38dc61c3cc |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
0c49cac8e8c9e500 |
|
VISUAL
wHash
|
00ed7020342cffff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
0080802058d08000,4c49cac8c0e8c9e5 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.