Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19A32EFE0D154ED3A439386D9B7F56B1B7391C384CF060A4853F483AB5FDACA09F125AA |
|
CONTENT
ssdeep
|
192:Q/WikgzYhhTN/l8iI4duKpoF83eLiaD/EWARsaXefDYc:Q/Wi5GTNd17EKpoF83ciaD8ZOdfD5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b9c9c636c6c53931 |
|
VISUAL
aHash
|
ffcfcfcfcfcfcfff |
|
VISUAL
dHash
|
02989a989a9a9806 |
|
VISUAL
wHash
|
00cfcfcf0f0f0f03 |
|
VISUAL
colorHash
|
07203000080 |
|
VISUAL
cropResistant
|
02989a989a9a9806,4a4ae6c4d5c7ad2d,2646d4c5cd89a945,1f79e5a282cd6117,aaeec6ace4e89a9b |
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 64 techniques to evade detection by security scanners and make reverse engineering more difficult.