Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E6A3EE23422925274433C2C1347A5B3BD1B6D95BFAE70A410EECCBFA6BF9C90B45B159 |
|
CONTENT
ssdeep
|
1536:BztrYtpR4nXBKpSpFl26vfN1oLdm+ImcbG:QUMGWLcsca |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9612ad6969ed6945 |
|
VISUAL
aHash
|
0004040404feffff |
|
VISUAL
dHash
|
dccccccc8c8c002b |
|
VISUAL
wHash
|
0006060606ffffff |
|
VISUAL
colorHash
|
0a003000600 |
|
VISUAL
cropResistant
|
0c584ace11202080,0000408080400000,8000619191610080,0020408080004000,888a444444c59010,8c000957562b2b2b,d0dccccccccc8c8c |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.