Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A0D28431A2843A3B41A792CDB7207B2EB2D3428DEBD7591163F943AD4BE7D00DD57066 |
|
CONTENT
ssdeep
|
768:Re/GLtYr7P8FV1BCK37sOy2+y9BH4crIe:56wz7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c372fc389969c5c1 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
9c0cc8c9cdcdab00 |
|
VISUAL
wHash
|
00c4f0302d07ffff |
|
VISUAL
colorHash
|
39000c000c0 |
|
VISUAL
cropResistant
|
0080800458988000,9c0cc8ccc9cdcd6b |
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.