Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CE234BB26722B4B843DB91EEF73C2955B2D1488DF8CB4514B5C95ACE23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:aC+EsZx8/G8I4FDaw/MqBUwaMqBDw9r82+/9dtZkDieE565ThHEnnvdhfePqDv+M:aC+EsZ/87FDaw/MqBUwaMqBDwh82+/99 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be3f6b9490c1c03e |
|
VISUAL
aHash
|
000081ffffffffff |
|
VISUAL
dHash
|
71717d3039200000 |
|
VISUAL
wHash
|
000000898fffffff |
|
VISUAL
colorHash
|
0e000000000 |
|
VISUAL
cropResistant
|
71717d3039200000,ffdfb3f3e9f1b7ff |
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.