Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AC8135652464E82C01DB9ADD7BA27C6B12AD0317EB171349D5EB83F882D3C9CFA37584 |
|
CONTENT
ssdeep
|
48:7NmTNM81EUU76u5iBt+yh2KWwZbYEHgzW6ge9pjHht+kFwpc8413+q44ce:i1i5iyyh2PQbjHh6gebdY2wpm13vYe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a622091999f6e6f3 |
|
VISUAL
aHash
|
0000e7e7ffffffff |
|
VISUAL
dHash
|
f0f04d4d4c4c0421 |
|
VISUAL
wHash
|
00000082e7ffffff |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
4d4d0c4d0c0c1000,f8f0f0f0cc4d4d4d |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.