Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BD226233A600CD2A8D9B52CCF2C49589451DC399FB3148C6B1A490FF7BC5DF0A9A979D |
|
CONTENT
ssdeep
|
192:7jV/2UOdmgbtxHW9jxeFx5McnthWeNWbQfMmUU8VCovW:wmgfWmfMmUFCovW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9664e9a0e19bb91e |
|
VISUAL
aHash
|
ff343c34343c3cff |
|
VISUAL
dHash
|
cf6c6c6c6c6c6c6c |
|
VISUAL
wHash
|
f7242434243c3cff |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
cf6c6c6c6c6c6c6c |
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.