Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C1D29431E0002B3B1297C3C9B761F76EA3D39349E74A190652F9C35D5BE7E90DA2346A |
|
CONTENT
ssdeep
|
768:QSky5N00cVSweQEIuEjVnfO4EBqmdlE7sOy2+y9BH4c1Ie:RqFDFHwZe7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d343f4389d6cdc82 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
90ccccc8cc2c8300 |
|
VISUAL
wHash
|
00e47c6c0e00ffff |
|
VISUAL
colorHash
|
07000180001 |
|
VISUAL
cropResistant
|
0080900458988000,90ccccc8d86c0c44 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)