Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T168828637B208A3390E9741EDEAD8F6AAA51F8159F33084D265F4813F9B51DEC64313AD |
|
CONTENT
ssdeep
|
384:ktf2/hOmfHy4ZKxdxVA7t93U3N+74XufMmUFCo2qa:kt+/ffHy4ZKxdzA7tRU3N+4XufBUsVqa |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f56d0c25372170f |
|
VISUAL
aHash
|
fcbf0f073f3fdf0f |
|
VISUAL
dHash
|
cc707a1c78601030 |
|
VISUAL
wHash
|
7c7f0f070f3f0000 |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
cc707a1c78601030,45452398c4e45945 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)