Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A4637630500C9D79A0C78ADCE6B936A421D54342C70B1A8CFAF4D3BE679EC9DD5376A8 |
|
CONTENT
ssdeep
|
1536:cz6sIxi7g01E01E01E01E01E01E01E01E01E01E01E01E01E01Q:cOm7g01E01E01E01E01E01E01E01E01g |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fe7e00808181fffc |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
c121251700000000 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
c121251700000000,0101010101010101 |
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 25 techniques to evade detection by security scanners and make reverse engineering more difficult.