Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F5110072D4402237A353AFCCA653E36972D2C50EDFC25E143AE4C1C407EAE59C836854 |
|
CONTENT
ssdeep
|
12:hRwMy7FUeGDkBmatwVQT6aEEgB3BgRFB1xY/obE6g6di3WNIDrpc2EHTO2WY:hR/CF3vtlvS3BaKF5WN8rK2EnWY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cccccccec6662726 |
|
VISUAL
aHash
|
3c18000000000018 |
|
VISUAL
dHash
|
32320c1000000830 |
|
VISUAL
wHash
|
fcfcf0f00c0c0c1c |
|
VISUAL
colorHash
|
380190000c0 |
|
VISUAL
cropResistant
|
32320c1000000830 |
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 21 techniques to evade detection by security scanners and make reverse engineering more difficult.