Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C204AA33421935260537C6D430B95B37D2A69E5FFAE70B010EECD7F62BE9CA0745A11A |
|
CONTENT
ssdeep
|
1536:nY44/ts28PjpMH1Wi6W223nee/WovtQsPB3IFknNapR4:EuGNxig |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9212ec6d99ed119d |
|
VISUAL
aHash
|
00040e0e0e04ffff |
|
VISUAL
dHash
|
d2ccdcdcd8dc2300 |
|
VISUAL
wHash
|
22060e0e0e0effff |
|
VISUAL
colorHash
|
330000001c0 |
|
VISUAL
cropResistant
|
37b7d4d6d6cdc5da,0000000000000000,d6ccdcdcdcd8d82c |
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 25 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)