Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17EF142F1D050ED370B5281C9A7B67B2B76A1C349CB420A4453F893BE6BCACA1CB2159D |
|
CONTENT
ssdeep
|
96:Tki8nfzH71tDlUhdtmMTZTaGxfkszawvFIeFXXvHFVetX5X/XYm+AT431:Qi8nfzH715lUhdYMVTaGxbnxvqrX/N8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f3a37606fb015c8c |
|
VISUAL
aHash
|
ffffffffff000000 |
|
VISUAL
dHash
|
0c0c10080820c020 |
|
VISUAL
wHash
|
ffffffff00000000 |
|
VISUAL
colorHash
|
074000001c0 |
|
VISUAL
cropResistant
|
0c4d0c1800585800,0000000000800020 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.