Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12E835272615521BF025B49DC60617F1E71D7F30ECAA38944BAFCA3889BD2CF1B8161B6 |
|
CONTENT
ssdeep
|
768:oOSvbZShBMZFnEG/61O3bxA46m2c6YvSI5h2EMy2EMTsMZZRyy5V5JI:nSw+nQ2SI5h2EMy2EMwqyyFJI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3f01a866ccfc696 |
|
VISUAL
aHash
|
7c5e7e60463e3818 |
|
VISUAL
dHash
|
d5b0cc8ad4c46a70 |
|
VISUAL
wHash
|
7d7efe60243c3818 |
|
VISUAL
colorHash
|
31c00008000 |
|
VISUAL
cropResistant
|
d5b0cc8ad4c46a70 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.