Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E4D28472F0402B3B035783DEBA51F71FB2D35749EA89090652F9C39E1B97E90D923626 |
|
CONTENT
ssdeep
|
768:8Sky5NMtNplOQsnME94frZAljXr7sOy2+y9BH4cLIe:A1WZwrZ+b7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d363f43a9d6c9482 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
9ccccccacc2c8200 |
|
VISUAL
wHash
|
00ec7c600e04ffff |
|
VISUAL
colorHash
|
07000180001 |
|
VISUAL
cropResistant
|
0080900458988000,90ccccc0cacc0c0c |
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.