Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T149B55E63D322150D697A88C9F067ABAB2544168DB6094BF07BADC77A7CCF0723530BD6 |
|
CONTENT
ssdeep
|
12288:6SnKoc6A30gah2vKwVA+SPzBTiK/CnxCnMzA:6S9c6DgZSPzBt/CnxCnn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dcf56331090bdc2b |
|
VISUAL
aHash
|
3cde18185a9a3c3c |
|
VISUAL
dHash
|
f8b233b3b2326969 |
|
VISUAL
wHash
|
3cfe98185a9a3c3c |
|
VISUAL
colorHash
|
03007000000 |
|
VISUAL
cropResistant
|
61658637ad6561e8,f8b233b3b2326969 |
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 45 techniques to evade detection by security scanners and make reverse engineering more difficult.