Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17803EAF4636412F665CB9BD57B60D76C76A6A2EDCA27CD08E3F85AD887C5C8CCC44880 |
|
CONTENT
ssdeep
|
384:J5XXFLiqtYEy20P8t86r/lz/4HzXW2y9R4CRpd8Zml94UvQpGMvdk4G97NaJE:31LNuEy20I18zmD9RoUvQjk4G97NB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9fe0d51f504a17f0 |
|
VISUAL
aHash
|
ffffb58181a5bffe |
|
VISUAL
dHash
|
88234569696d7280 |
|
VISUAL
wHash
|
feff8181818182fe |
|
VISUAL
colorHash
|
070000c0006 |
|
VISUAL
cropResistant
|
88234569696d7280,438d1a3e36de3323,697376ef96cede7e |
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 26 techniques to evade detection by security scanners and make reverse engineering more difficult.