Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T130D2C435B100273B128783DAB752F76FA3D39349E74A050652FA835D4BE7E60DA2345B |
|
CONTENT
ssdeep
|
768:aSky5Nu+bPedQRa9E5Mf7wa7sOy2+y9BH4cLIe:j6KRaCQ757sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c342fc38b9299dc6 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
98ccc4cacc2c8300 |
|
VISUAL
wHash
|
00fc7c602600ffff |
|
VISUAL
colorHash
|
07000180001 |
|
VISUAL
cropResistant
|
0080900458988000,90ccccc0cacc1c04 |
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.