Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T108C2B772A0002A3F028783C97376F72ED2E39689DB5B091652FC935D4BD7E54DE2346A |
|
CONTENT
ssdeep
|
768:nSCy5NxGw6pWeZ1FpC3tj7sOy2+y9BH4crIe:Pw63Otj7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9363f53ad428d2c5 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c4940d0f9f9b500 |
|
VISUAL
wHash
|
002f38180c0fffff |
|
VISUAL
colorHash
|
11010000c00 |
|
VISUAL
cropResistant
|
2080802058d08000,1c594af0d0f9b93d |
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.