Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D5A3DE234159792A4437C7D0307A6B3BD1A6DD9FFAE709010EECC7F62AF9C90741A159 |
|
CONTENT
ssdeep
|
1536:KitpR4nXBKpSpFl26vMSZshSj/nj7VRTILCAc:NUMdSjnj73cCAc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93076d0713137f4d |
|
VISUAL
aHash
|
001f0f3e3f0f01e7 |
|
VISUAL
dHash
|
dcbf38fcdcbcb71f |
|
VISUAL
wHash
|
000f0f3f3f0f01ef |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
fda75cdcdcbdf70f,d8bf39fcdc9cbd77,88535393251bc9c8,65074b456367666d,68000c32320c21d4 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.