Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11CD16222A185650C72DA8264FA61C6EAF3048645C31E0FFE4B71553EF84DAF6C93A3DD |
|
CONTENT
ssdeep
|
192:amCCrKJQzpMdw9iaUGRhIkgtUXEn+aCz7:amCLJePeG3IkgtU0n+aCz7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc6d38c39296c369 |
|
VISUAL
aHash
|
818181ffffffffff |
|
VISUAL
dHash
|
2b3b333f0f0d373f |
|
VISUAL
wHash
|
8181818fefe7c3c3 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
2b3b333f0f0d373f,ff6fa29ad4b2ffff |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.