Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A86174BB9020056F0542C7F2FB462F9C95D3735CCEE3A98096F19198E3DAE315F6244A |
|
CONTENT
ssdeep
|
96:MaziPpRHdH9jw+PYA1+4InKK0ZHw0YDBbW:/ePHHdH9jw+PYA1+VfDBW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9a4949ccb6b3b2a6 |
|
VISUAL
aHash
|
001800e7ffffffff |
|
VISUAL
dHash
|
aab20d0c20040032 |
|
VISUAL
wHash
|
000000efd7ffff89 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
aab20d0c20040032 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.