Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12FC27632E040273B0157D3C97723F31EA7E3E289EB46091552F8875D8BE7D90DA6356A |
|
CONTENT
ssdeep
|
768:ve/y5NpOinunyJFsARgCcgqyx+6dLztDV+BnGhgdxXmGzX6PAVYMChU7sOy2+y9R:fOsfaYs7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c367fc38992cc683 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
0c4cccc2cccdd300 |
|
VISUAL
wHash
|
00fef6300400ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0080800458988000,940cccc6dacccde3 |
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.