Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14DE2B97261406B3B01A792CAB391B75D63E3874FD74E081257FC872D4BE3E10EA1766A |
|
CONTENT
ssdeep
|
768:UQePyqX5JDMn1V4amO5d7sOy2+y9BH4c1Ie:eyqXL8NL7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d341f83a9d6990cd |
|
VISUAL
aHash
|
000020000004ffff |
|
VISUAL
dHash
|
988cc0c8ec0cc300 |
|
VISUAL
wHash
|
006470603e0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
08324c4d4d4c3008,0080800058988000,9888c4c0c8cc1cc3 |
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.