Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T155E2C832D019A93F069BB3E1A770A35A7386838EDA43172A42FDC34D4FEBD90DD16495 |
|
CONTENT
ssdeep
|
384:p4+mII1tIIIII9jlBYY7nyhT8mlAg0leCrUC2zEouqQPfWpW:2+mII7IIIII3nyhT8Lg0ldrfCuqQnx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e3711c9c396396 |
|
VISUAL
aHash
|
00e3e7ff7f181818 |
|
VISUAL
dHash
|
97cfcfd3e5f3f0e0 |
|
VISUAL
wHash
|
00e3efff7f181810 |
|
VISUAL
colorHash
|
19038000000 |
|
VISUAL
cropResistant
|
73e3d3ee9c988c8c,0002487cd4400000,97cfcfd3e5f3f0e0 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)