Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16DD143739014C81B5FB7E24CFAC0F58C91A6D25AF73098C7A2E4516F2AC5EF588B5368 |
|
CONTENT
ssdeep
|
96:riC4fWaR1sYQlnNWzCfMmORR1E8VConcDPaGA+/6l:rif5dQuOfMmUU8VCo6Q |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
af0bd1323ef0d03a |
|
VISUAL
aHash
|
0d3dff0001ffffff |
|
VISUAL
dHash
|
79d1015777002500 |
|
VISUAL
wHash
|
0038f80000ffffff |
|
VISUAL
colorHash
|
07001000c00 |
|
VISUAL
cropResistant
|
79d1015777002500,215122027235b4dc,2666929a5e8baa8e,827c8a8b6d2dcdad |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)