Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BA32013071033837563789D1F8A18F0DA247A37AD6860A58F3B41666BFCECE459777A8 |
|
CONTENT
ssdeep
|
192:lpncbbRgS9lncdwdntd10nuQO1FTJpyQtnhQO1FTJpoZEu3JMLBnadwfYHnKvw8u:PnEHncSdntH0nunvJrtnhnvJIEu3uLBW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3337426669999c5 |
|
VISUAL
aHash
|
e7e7e7efe7ffffff |
|
VISUAL
dHash
|
4d4d4e4c4d0c0c0c |
|
VISUAL
wHash
|
03030303c3c3e6e6 |
|
VISUAL
colorHash
|
074000000c0 |
|
VISUAL
cropResistant
|
4d4d4e4c4d0c0c0c,6363b2f2d3933270 |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)