Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18BE2757261107A370297C1CA7761672AA2F7438FE6850512A3FD43AD0BE6D15EF3732A |
|
CONTENT
ssdeep
|
768:3eStzcxJ45tFA7M75oYcrJxcT7sOy2+y9BH4crIe:rtA7u5oYoxcT7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d706b438bd3cc4c6 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
d4c8ccc0c8888c00 |
|
VISUAL
wHash
|
027c7c304044ffff |
|
VISUAL
colorHash
|
31010000c00 |
|
VISUAL
cropResistant
|
0c80880458988000,d4c8ccc4c8d88c8c |
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.