Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D1D1DCF1D044ED37435386D9A7BAAB0B7691C349CF031A4493F8839A5BDAC60CE1569A |
|
CONTENT
ssdeep
|
96:Tk329dnPDJ1tkUoDt8v67MXdwUSS8H9wvF5eJXVHFmeRXSX/JVtYff2J:Q329dnPDJ1boDt8iINwnt/nsXFcfw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bcac1398b807c7bc |
|
VISUAL
aHash
|
ffffffffff000000 |
|
VISUAL
dHash
|
3237272720482000 |
|
VISUAL
wHash
|
dff3f3f3df000000 |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
3a1727272737364a,0000000000000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.