Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T149D2A93271106E374197D2DAB3A1572E63E3434FE6860425A2FD83AD0BE7D14EE6B319 |
|
CONTENT
ssdeep
|
768:Peip9Bhf7is85+RQcpjlm7sOy2+y9BH4crIe:LF7y56Dpjlm7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d604b432bd35e5c5 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
d4ccc4c8d88c8c00 |
|
VISUAL
wHash
|
067c74306004ffff |
|
VISUAL
colorHash
|
31008001600 |
|
VISUAL
cropResistant
|
0c80880458988000,d4cce4c0c8d88c8c |
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.