Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T198528673D444693B2267C3DABAB0674EBB42C586CAC30189D6F9D35E5FD2EA2CC02254 |
|
CONTENT
ssdeep
|
192:wo09TbnFbOVrfFJPmyBHJA4gJYmvELWEADcTBrZGg:mFCVr7Pmy3ABRELWEaIBlF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9e1e6361674e11ce |
|
VISUAL
aHash
|
00081c1effefffff |
|
VISUAL
dHash
|
1b787430349c3006 |
|
VISUAL
wHash
|
00001c1cfeceffd5 |
|
VISUAL
colorHash
|
07600000041 |
|
VISUAL
cropResistant
|
1b787430349c3006 |
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 36 techniques to evade detection by security scanners and make reverse engineering more difficult.