Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F4A2A521BA44EC1A42DFA9C9A973527521FA8346C21216C8FDB6C7F947AFD6DCB73004 |
|
CONTENT
ssdeep
|
384:na3aQrWRHCmXjujwcZI2AAXOsJO5xVZjqTSeroUa879ft:CWRNuEcqtA+sIx/j1Uf79F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
889da3b722b5a89d |
|
VISUAL
aHash
|
033c1818007c7e01 |
|
VISUAL
dHash
|
0f70329432d4cc01 |
|
VISUAL
wHash
|
ff3c1c18187e7e01 |
|
VISUAL
colorHash
|
38002008081 |
|
VISUAL
cropResistant
|
0f70329432d4cc01 |
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 68 techniques to evade detection by security scanners and make reverse engineering more difficult.