Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12273657321426A3F24D345D1839CE769D382DA09DBA74A8FD7E8831B27CBDA0DD351A4 |
|
CONTENT
ssdeep
|
1536:i1kks/cDcGc0p4iH2Jfyr0aJGkDLsA0UxVuz81l:GdyHKL24l |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2506cbe96d696f0 |
|
VISUAL
aHash
|
00003c7e7effd1ff |
|
VISUAL
dHash
|
8493c8d0cccc238e |
|
VISUAL
wHash
|
00003c7e7effd1c3 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
ccc8d4cccc236296,8483f3cbc4c8dcd4,4561417971690141,17496969696995a5,00454d7171414541,20d34909a9a8ac04 |
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)