Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16DD2CA32A1007637519792C573A2A32FA2A7438ADB86055643FC83AC4BE3DD4DE7751B |
|
CONTENT
ssdeep
|
384:cKSby5NvN7uiZIqMomW/vrFCuLMevHNDfIVTNqIYsOy2+y9BH4ciUIe:pSby5Nvcieuog0I7sOy2+y9BH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
924dfc32e91c92e9 |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
8cc4c4c8c8ac3c00 |
|
VISUAL
wHash
|
00fe7800600effff |
|
VISUAL
colorHash
|
390410002c0 |
|
VISUAL
cropResistant
|
ca754d4d4d715596,1080800458988000,9cccc4c8c8c92c3c |
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.