Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T123E2C5319119A83F1DA77AD2E7B4A32E22CA4389DE430B6A42FC8B5D5FD6C40DD03496 |
|
CONTENT
ssdeep
|
384:1lIIcPrIIIII9ulB93rbFvW3XMSm6dYjRt3yM7yOgamJCBdq1pW:XIIUIIIII+Ne3XMSJdKiM7yOaJIqi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e37c1c3961c69c |
|
VISUAL
aHash
|
00e3e7eb3f3c1818 |
|
VISUAL
dHash
|
87cfcfcbf1e4f0f0 |
|
VISUAL
wHash
|
00e3f7ef1f3c1818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3ca8d988c0c,0012e4ccd4400000,87cfcfcbf1e4f0f0 |
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.
Pages with identical visual appearance (based on perceptual hash)