Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14B234B726722B8A843DB91EEF7383D55A2D1489DF8CB4450B5C95ACE23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:a7+EsZx8/G864QDaw2MqBcwjzMqBVr82+/9dtZkDieE565ThHEnnvdhfePqDv+Ak:a7+EsZ/89QDaw2MqBcw/MqBJ82+/9dtY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf7f3f3bc08080c2 |
|
VISUAL
aHash
|
000081ffffffffff |
|
VISUAL
dHash
|
7b737d061f18181c |
|
VISUAL
wHash
|
000000c7ffcfefcf |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
7b737d061f18181c,fffff3fffbf7f7ff |
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.