Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T179235BB26722B8A843DB91EEF73C2956E2D2489DF8C74510F5C95ACD13C3C816297BB4 |
|
CONTENT
ssdeep
|
768:az+EsZx8/G8E40DawUMqB0wlMqB9r82+/9dtZkDieE565ThHEnnvdhfePqDv+AzY:az+EsZ/8/0DawUMqB0wlMqBh82+/9dtY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec6d6d9292c3c392 |
|
VISUAL
aHash
|
c38181c3ffffffff |
|
VISUAL
dHash
|
1f07070711320000 |
|
VISUAL
wHash
|
8181010181ffffff |
|
VISUAL
colorHash
|
06006000080 |
|
VISUAL
cropResistant
|
1f07070711320000,5fbfcfc7a7afa7af |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.