Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T181C25361E36496F5929356C46A40BBAAA08FE248D30D30CD675773762FFDC70782D2AC |
|
CONTENT
ssdeep
|
768:slZQcjmc68DAezaN6pMyHzwXKzwZz9efC1tlBw:sl1PACu9k |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3458cb812d2fbc9 |
|
VISUAL
aHash
|
ff02280486c7ffff |
|
VISUAL
dHash
|
cfe648cc2e3e7072 |
|
VISUAL
wHash
|
ff0220040287ffff |
|
VISUAL
colorHash
|
07002000180 |
|
VISUAL
cropResistant
|
cfe648cc2e3e7072,cf753b0dcf0d6613,5f2f978be5d2e8fc,f000187090019080,39b9c6919184088b |
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 16661 techniques to evade detection by security scanners and make reverse engineering more difficult.