Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T117A2B6715DC25A3300B383C1A731EB0B93E042CADA43DB46DAFECB5A8BC9D91ED56594 |
|
CONTENT
ssdeep
|
384:UL14Zh7zmn77y4CNia9sAjrBDrYia0EPLHDHqI2LYydjddZ0grThZ0uLmB:UL14Z5q7y4CNia9sAnRrY+EPLDqIOYqo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b2cf473158c7cc32 |
|
VISUAL
aHash
|
00cfffffc7c7c7c7 |
|
VISUAL
dHash
|
2a3d343c1d1d1d1d |
|
VISUAL
wHash
|
00879fcf87878787 |
|
VISUAL
colorHash
|
06400038000 |
|
VISUAL
cropResistant
|
0000606060000000,3c3c401d1d1d0d1d,0403a3a6aca32324,bc2ccbcac8a4a6e9 |
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 126 techniques to evade detection by security scanners and make reverse engineering more difficult.