Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D5517565C008DD2BD175C0D4E571A32C9AC9824993130B8893EC473D26EB9A9DC5FEC8 |
|
CONTENT
ssdeep
|
48:mpqfEJLQ8mHDQeMt5MSjWAUf1sHcKtub8CXSL5fh6qLv:mpNt5Mvq8KtuXoNhhv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ffc588738ad82272 |
|
VISUAL
aHash
|
f0f0e0d1c1838707 |
|
VISUAL
dHash
|
03030f130f1f1f3f |
|
VISUAL
wHash
|
f0f0e1f9c3838707 |
|
VISUAL
colorHash
|
07201018040 |
|
VISUAL
cropResistant
|
03030f130f1f1f3f |
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 42 techniques to evade detection by security scanners and make reverse engineering more difficult.