Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11BE2DA73A1406B3B029392C6F390E75A63E3834ED74A052553FD872D1BE3D50EE2766A |
|
CONTENT
ssdeep
|
768:eQeNTjVSMQsicVQlpExqVr7sOy2+y9BH4cLIe:6UNNjl7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d242f9329d4d96e1 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
d88cc4e2cc0cc300 |
|
VISUAL
wHash
|
006470382e0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
08324c4c4d4c3204,0080800058988000,d88cccc0c8cc3cc3 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.