Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C5D2B631A020273F625783CBF751F72EA2E39289EB56091952FD835D4BE7E50DD1382A |
|
CONTENT
ssdeep
|
768:B6Sky5Ncu5ByN6EinzfuHVHG7sOy2+y9BH4cLIe:f5mH4p7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d343d5389d69d582 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
98cccccadc0c8300 |
|
VISUAL
wHash
|
00fe7c600600ffff |
|
VISUAL
colorHash
|
07000180001 |
|
VISUAL
cropResistant
|
0080900458988000,d0ccccc8ca0c0c04 |
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.