Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15EA10C705044ED372493E2E2B6F8972EA2D2EA05CE471644D7F883CC0BE7E99CE72416 |
|
CONTENT
ssdeep
|
96:cuu5kXya1pvBanTXcT0HZb5+SiQDPv9sVyJqkGF:cuu5kXD1pcQw5b5+SiQD39sVcqko |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1b7664c9919a666 |
|
VISUAL
aHash
|
81e7e7ffff400000 |
|
VISUAL
dHash
|
03cc4c52368cd86a |
|
VISUAL
wHash
|
c7e7e7efff000000 |
|
VISUAL
colorHash
|
170000001c0 |
|
VISUAL
cropResistant
|
03cc4c52368cd86a |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.