Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DAD11EE0C554EE37475385D9ABF16B0B77D1C349CB020D4093F883EB5BCACA0DA659A9 |
|
CONTENT
ssdeep
|
96:TkYFSzeFvMSfuSTCctutQISS8lWo3wvFf9exX4HFieFXmz/JEc9YfYfGJ:QYFSzeFdjWcktQLW0S/gza6suA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9aade3229d16cae1 |
|
VISUAL
aHash
|
ffffff071f0404fc |
|
VISUAL
dHash
|
320b393dbdadcd51 |
|
VISUAL
wHash
|
ffff1f04170000fc |
|
VISUAL
colorHash
|
06601008000 |
|
VISUAL
cropResistant
|
320b393dbdadcd51,e1c191994988ede9,6c6c2c2c3bbb8d0c,1e3b4bc9c9cde1e3,313139292b233337 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.