Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14A53863052045D3A965382D1C774372A52D6A399CB6A1A08FEF047B49FCAE9CFC2B7D4 |
|
CONTENT
ssdeep
|
768:hF85d/oiYOBvmrV2kV2FJuYCG9HlslvWkuG:/Cq2FJuYCGDAvW1G |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b962c25c7936734c |
|
VISUAL
aHash
|
007f0f030b8f9fff |
|
VISUAL
dHash
|
c9db3b3b323f2ed6 |
|
VISUAL
wHash
|
003f0b031b8f0fff |
|
VISUAL
colorHash
|
01030000400 |
|
VISUAL
cropResistant
|
dbff1b33323c3e8e,0000000423cccc33,3636d9f9d9daacac,8a8af597f16d9b9b,65263ebb3b1ec9c9 |
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 36 techniques to evade detection by security scanners and make reverse engineering more difficult.