Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13943203090427C330593D3D097B55B5FE3D1824ADE930B5653F8836E9FDADA8CC2AA69 |
|
CONTENT
ssdeep
|
384:zlvVnVbQFFg64xAECthj+ECthjwECthjsECthjn2Jly053nc5s+R1gW+Cu2:zXnVEDg64x6thkthWthithKiTR1P+Cu2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8b89f616e950e179 |
|
VISUAL
aHash
|
3f1f1919191f04ff |
|
VISUAL
dHash
|
61fbfbf3f3fd7c03 |
|
VISUAL
wHash
|
3f1f1919090f04ff |
|
VISUAL
colorHash
|
07201008080 |
|
VISUAL
cropResistant
|
63fbfbfbf3f3fdfc,2000100000000000,69fbfbf3f3f3fd3c,07038baf8f473932 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.