Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C4234BB26722B8A843DB91EEF7382D55A2D5489DF8CB4410F5C95A8E23C3C817197BB4 |
|
CONTENT
ssdeep
|
768:av+EsZx8/G8I4UDawjMwBhwoMwBawlr82+/9dtZkDieE565ThHbjoZDWphfBqPqz:av+EsZ/87UDawjMwBhwoMwBawZ82+/9a |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b83c69c392c6c3e3 |
|
VISUAL
aHash
|
838181ffffffffff |
|
VISUAL
dHash
|
173337391f000000 |
|
VISUAL
wHash
|
8181010181ffffff |
|
VISUAL
colorHash
|
06007000000 |
|
VISUAL
cropResistant
|
173337391f000000,7bdf7963dcf879bf |
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.