Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16253B73281501D37478BE2C5BA707F1AA192B28BCD818557C2FD476DEFC9DB49C2B18A |
|
CONTENT
ssdeep
|
1536:gUaEfr35kqXeh1rvdHujPw0TdX0TLGT+1K/7ah:YqKTLGT+1Kmh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e565c69a939b8896 |
|
VISUAL
aHash
|
c3c3c3c3c7ffffff |
|
VISUAL
dHash
|
0606061e0e526cc9 |
|
VISUAL
wHash
|
82828282c3fbfefc |
|
VISUAL
colorHash
|
06210010200 |
|
VISUAL
cropResistant
|
0606061e0e526cc9,11310101091c3e2e |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.