Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AE1210E1D054DD36075382C9BBB57B6F77B1C384CF020A5413F8536EABCBDA18A115AA |
|
CONTENT
ssdeep
|
96:Tkfv8gzYh7MSfuST6DNtb8v67wvvOp442FgIqXBeNwvFaXYWX0X/asYlGGAT431:Qfv8gzYhhjGl8iSv945eqXFYlU8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eb6b946b949403bc |
|
VISUAL
aHash
|
f9e1e1e1e1e1ff7f |
|
VISUAL
dHash
|
0303030323c320d2 |
|
VISUAL
wHash
|
e1e0e0e0c060ff7f |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
0303030323c320d2,99d96262d3992cd6,05b4c8f2e8c8b6ad |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.