Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C8235BB26322B8A843DB91EEEB383D55B2D1489DF8C74410F5C99ACD23C3C846197BB4 |
|
CONTENT
ssdeep
|
768:aW+EsZx8/G8q4IDaw9MhB2Mw7MhB2lwZCN2/y9dGDTDiJE56ITmH+LCBlvNPqDvF:aW+EsZ/8tIDaw9MhBVw7MhBEwcN2/y9M |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3f2fc0c0c0632e |
|
VISUAL
aHash
|
010001ffffffffff |
|
VISUAL
dHash
|
7b717d353f1d332f |
|
VISUAL
wHash
|
000000ffc7ffdfc3 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
7b717d353f1d332f,ffdff3fbf9f1f7ff |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.