Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15A73757211427A3F10A742D1831CE75AD386DA09C7B7499ADBE883AB27C7EE0ED35174 |
|
CONTENT
ssdeep
|
1536:a8YHPK/DcPl0t4Jxaq2yw00cGIBnxH0fxVuz8KB:vyfGonicB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2506cbe96d696f0 |
|
VISUAL
aHash
|
00003c7e7efff1ff |
|
VISUAL
dHash
|
9493c8d0cccc238e |
|
VISUAL
wHash
|
00003c7e7effd1c3 |
|
VISUAL
colorHash
|
07010000e00 |
|
VISUAL
cropResistant
|
ccc8d4cccc238e86,8c83d3cbc4c8dcd4,4561417971690141,00454d7171414541,08d86dadbda54425 |
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.
Pages with identical visual appearance (based on perceptual hash)