Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T123D1DAA38198083E753342DDE02963A621A7A31EE757090CD3ECA37747DDDA7B9A7C40 |
|
CONTENT
ssdeep
|
96:TOc1dKn++jiRYmRaX8DKR/0M2+p3h+hvb5kk:yc1P7nAMb+p3h+hWk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8c76738c63138c7 |
|
VISUAL
aHash
|
ffffcfdbff8f8fff |
|
VISUAL
dHash
|
0060d05444999a60 |
|
VISUAL
wHash
|
0b319db1bd8d0137 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0060d05444999a60,3b5c6cf7ffffafaf |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)