Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1998319A83909F5161AB343A720DE15037278232B980D4C70A255FD9FB6FCC9AB16BFD5 |
|
CONTENT
ssdeep
|
1536:p93SlUuRNka2wblHbJLwLIz9GguGOjjRnY:p9irX2wd9W/guGO+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c626699339bcc66 |
|
VISUAL
aHash
|
0012763e0e1a1a00 |
|
VISUAL
dHash
|
98a4a0f8eab23232 |
|
VISUAL
wHash
|
005e7e3e3e1f1e0a |
|
VISUAL
colorHash
|
38000038000 |
|
VISUAL
cropResistant
|
98a4a0f8eab23232 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.