Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T175D2A571E100273F02AB83C97361BB2EA2D39349D796081653FE87AD4BE7E50DD63526 |
|
CONTENT
ssdeep
|
768:/SXy5N12gvW7KKU1c+4SVB11CoTtOIk7sOy2+y9BH4cLIe:egvW7KKU177PCo5k7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c76bfd32d84c8682 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
0c49c7e3c84cd600 |
|
VISUAL
wHash
|
80ed71300406ffff |
|
VISUAL
colorHash
|
31000200038 |
|
VISUAL
cropResistant
|
208080106c888000,14094be3c3cccce6 |
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.