Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E0027A9CE26598335561C1E0E86A7BDA31508E4AD7832B1457BCC136FFC99EEED023B4 |
|
CONTENT
ssdeep
|
96:TkWTGW8x9B2iaBDjU3F9N2vKyJOiU+9P6z1sGJ1ErnFAEUySg3dHXi5qomXRFIB4:xGnnoiaoRyJ6zKVDmEUG3d7oaReBv61j |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cbdd3c23dc28d12c |
|
VISUAL
aHash
|
383c3c3c3c2c0101 |
|
VISUAL
dHash
|
f1e9e9e1c8c9335b |
|
VISUAL
wHash
|
3c7c7c7c3c3d010b |
|
VISUAL
colorHash
|
320000001c0 |
|
VISUAL
cropResistant
|
b4b7ce8e8ee3939b,e4ac075b5b251dc6,f1e9e9e1c8c9335b,b3840433c41a1a14 |
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.