Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T193D109E183504148568BC5EBEF777BAE314790EAFA521AE486E7E735F8CBCD49810C44 |
|
CONTENT
ssdeep
|
192:by6iSqugxuO4Rnigni6U3qV0OKPGC9jbjFpo0M:W6iVV4POqVbe3jbjLo0M |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8889a3a3aba3a7a7 |
|
VISUAL
aHash
|
ff18181818000000 |
|
VISUAL
dHash
|
3130b23030001000 |
|
VISUAL
wHash
|
ff3c3c3c18000000 |
|
VISUAL
colorHash
|
38200000640 |
|
VISUAL
cropResistant
|
3130b23030001000 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.