Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12293FC72A27B1822511FB2E4A2B48B192683DB89C3434BF6627D52F67FCD8757D1318C |
|
CONTENT
ssdeep
|
1536:6SvT3HDCsDFgNDTiDBC6+eeeakDI7tRQcm5fDxDmji64FZDgKdCZarKTKcplZXJh:PlFgpTMa+IYcmN1rNZuplZXJjxwAEy/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
936c493893d7c6cc |
|
VISUAL
aHash
|
00007e6e44466e6e |
|
VISUAL
dHash
|
ca2be4c88888d8d8 |
|
VISUAL
wHash
|
70407e7e46466e6e |
|
VISUAL
colorHash
|
02200030000 |
|
VISUAL
cropResistant
|
ca2be4c88888d8d8,d0449a1c49830f0b,97c56931f1e1a0ac,4b433198d8d08c4d |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.