Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BC0393316042363B925383C9F7B6A74EB3D19255DBA34A08B3F4436E9FC7D86EC26614 |
|
CONTENT
ssdeep
|
768:v3ar/fu9QVdDUUTVW+Eq6kVR8ypaQPPrWHnfFbfELSIu3TH+K0Pm:v3U6MLSIXm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c1c926a75e547c3 |
|
VISUAL
aHash
|
001818820000ffff |
|
VISUAL
dHash
|
b93062268ce8878e |
|
VISUAL
wHash
|
001c38c27f00ffff |
|
VISUAL
colorHash
|
02008000c00 |
|
VISUAL
cropResistant
|
66763679e1a5a534,999cb4b8b89c938e,e271f8c4d0f23819,b52bced8c8ecd4a5,0620868e17cc8ea4,d5b9313460722625,4004e0e066c8c868 |
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 175 techniques to evade detection by security scanners and make reverse engineering more difficult.