Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DA91763254509A3F02374AD0B5A2B30F6193F31EDA6B0941BAF4D7EA4FF9E85CC46146 |
|
CONTENT
ssdeep
|
96:TGXIuOKDMKLGc9A9MU3+9NmU/lNzSTgmtUV:aFOKD1MjoNgUmtUV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb11c611ee34ee0b |
|
VISUAL
aHash
|
0f0f0f0f0f0f0f0f |
|
VISUAL
dHash
|
5a5b1b1b5b1bd81b |
|
VISUAL
wHash
|
0f0f0f0f0f0f0f0f |
|
VISUAL
colorHash
|
06000038000 |
|
VISUAL
cropResistant
|
5a5b1b1b5b1bd81b |
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 340 techniques to evade detection by security scanners and make reverse engineering more difficult.