Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D2226273B600CD6A49AB96CCF2C09688825EC345F73108C6B1A491FF7BC4DF169A979D |
|
CONTENT
ssdeep
|
192:v/SQYcAcWchzhALsQdx0McnthWeNWbxfMmUU8VConn:EcAcWchzhALJfMmUFCon |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8f49f096f069f194 |
|
VISUAL
aHash
|
3f1f3f3f3f3f1f3f |
|
VISUAL
dHash
|
636a6b6b686b6868 |
|
VISUAL
wHash
|
1b1b18191f1f1f1e |
|
VISUAL
colorHash
|
07000000007 |
|
VISUAL
cropResistant
|
636a6b6b686b6868,00806994946b8000 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.