Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17EB1953504000E338217A5E4EA99BF5BB2E2C20ACB83545826FCD7BC4FCACE4D567644 |
|
CONTENT
ssdeep
|
96:4yei5ABNADGAR9AUN0Fs0ZuEZfoNzS+LwOq:ELBNIGARmUNt5Lwn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc99336764cc3333 |
|
VISUAL
aHash
|
003c3c3c18000000 |
|
VISUAL
dHash
|
107171f0f0dca0a4 |
|
VISUAL
wHash
|
183c7e7e7e3c1c10 |
|
VISUAL
colorHash
|
31c00000000 |
|
VISUAL
cropResistant
|
d88068405b8c8989,107171f0f0dca0a4 |
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 176 techniques to evade detection by security scanners and make reverse engineering more difficult.