Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ABE2D732D009A93F069BB3E1A774A36B7396839AC643171A42FDC74D1BEBD94CD0B491 |
|
CONTENT
ssdeep
|
384:p+ijII1DIIIII9vlBYYtRyPfSWl2gi/UCr2CCrEXqQPfWpW:8ijIIJIIIIIBRyPfS1gi/brJ5qQnx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
86e3791c1c39e3c6 |
|
VISUAL
aHash
|
00e1f7ff7f3c1818 |
|
VISUAL
dHash
|
87c7cfd3e5e9f0f0 |
|
VISUAL
wHash
|
00e1f7ff7f381810 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f363d3cadd988c0c,0002c8fcd4400000,87c7cfd3e5e9f0f0 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.