Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1473247B0C188141F3366D2C4EEA7AFC922678106D705062AB7F9349AF6CEDF9C4B6355 |
|
CONTENT
ssdeep
|
192:4SiSQkBIyOZyh71U1mCjkWG33G4DgYk9GCn90Cn90Cn90d:4SiSEyOyx1U1mCjkWG324DNk9Gs90s9u |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9614f9e30f6f5842 |
|
VISUAL
aHash
|
0004000727ffe7ff |
|
VISUAL
dHash
|
caccfcececcccece |
|
VISUAL
wHash
|
0006000627ffffff |
|
VISUAL
colorHash
|
03002000180 |
|
VISUAL
cropResistant
|
bc746bade4872738,261872743c94b8c9,ee3cc0ec96b692d6,fcecececcececeea,c0ceececfcececec |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.