Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T196A3327062416ABB21D7DBF2B3A15B6EA1A8D70AD917C749A3F8C3491FC7CA0CD42750 |
|
CONTENT
ssdeep
|
3072:AYprMCtjIkYprMCtjIaYprMCtjIaYprMCtjIK:DprMCtjIXprMCtjItprMCtjItprMCtjT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b636c8c863cac9e3 |
|
VISUAL
aHash
|
e7c3c3c7c3ffffff |
|
VISUAL
dHash
|
4d0c4c0c4c162c40 |
|
VISUAL
wHash
|
c103030383c3ffff |
|
VISUAL
colorHash
|
07400038000 |
|
VISUAL
cropResistant
|
0000204e0e200000,4d0c4c0c4c162c40 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.