Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13BC2B423A114643FC1075AD9E772BF7970EBA14DCD058514BBE40AE247F2EE4983F98A |
|
CONTENT
ssdeep
|
768:yt+OY2km6xTcgaTgIuH+OJgj+wNM3jrMgHwwgF4MfOuwgexfOYIFgzQKSgOCUgOf:G+7jViC0i2L |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cda2ffa83320ae26 |
|
VISUAL
aHash
|
813c3818081818b8 |
|
VISUAL
dHash
|
43f0613028b07060 |
|
VISUAL
wHash
|
837c3c38183c3ebe |
|
VISUAL
colorHash
|
38000e00000 |
|
VISUAL
cropResistant
|
43f0613028b07060 |
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 99107 techniques to evade detection by security scanners and make reverse engineering more difficult.