Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T189C29831B1002B3B025793C9B711F72DE6E39389D65A0D2552F9835D8BE7E90DE2392E |
|
CONTENT
ssdeep
|
768:hre/y5NkiExngAbBsck07sOy2+y9BH4crIe:mgUBs07sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c367fc389869c18e |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
144ccecacccdc300 |
|
VISUAL
wHash
|
80e6f2602420ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0080800458988000,944ccccec8cccdc3 |
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.