Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BAC2857160406A3B429383C877617B2EF2E39289E74A151553FD876D0FDBE40ED2792A |
|
CONTENT
ssdeep
|
768:+keQB2z87Db2E0scSiP24a7sOy2+y9BH4crIe:3ih1Ji7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2469432bc3cb2ed |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
9cc4c2c8c8cccc00 |
|
VISUAL
wHash
|
06746060604effff |
|
VISUAL
colorHash
|
31038000000 |
|
VISUAL
cropResistant
|
008080005cc88000,9cc4c0c0c8c8cccc |
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.