Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T181D33C703655757B56F383E670AA230273BA462ED80F8C24A394E6D923DCC46B573F89 |
|
CONTENT
ssdeep
|
3072:TWD0+l0fnVyNDAFt5j0fnVyNDAFt5zBROXlX8VMAIGvnAK1toF:qYMzNvnAK1toF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3ce38313ec7c31c |
|
VISUAL
aHash
|
00007c7430600000 |
|
VISUAL
dHash
|
9428e4c4e4c0c020 |
|
VISUAL
wHash
|
ff767e7e70702000 |
|
VISUAL
colorHash
|
38c03000000 |
|
VISUAL
cropResistant
|
9428e4c4e4c0c020 |
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 27 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)