Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T116C27571A210263F116BC3C9B752F36EE2E39249DB46090553FC875E4BE7E50EE2352A |
|
CONTENT
ssdeep
|
768:TSzy5NhEHNJBJBgo2rh/D9JL1J7sOy2+y9BH4crIe:iHZJByB9JL1J7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363f53a9c1c9cc1 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
cccfc3e8cdc9c500 |
|
VISUAL
wHash
|
64f370140401ffff |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
c400c00158d88000,8ccdc3d2cdcda9c2 |
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.