Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10063C3717100A93B059392D9D772272F72E5820ACE170769ABFD832DAFC6CB5EC23458 |
|
CONTENT
ssdeep
|
768:dbexq44DVRL07NFfdAb3sE7pac7xYp9khQp+Y5535C5A5n5G50535k5Vx9Jr:B44bGssE7pa4S9BAYmx9Jr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cd4cb692c692db0b |
|
VISUAL
aHash
|
fc8088f8f8fcffff |
|
VISUAL
dHash
|
e43633337369ce4c |
|
VISUAL
wHash
|
3c0080f0b0fcffe7 |
|
VISUAL
colorHash
|
07600008008 |
|
VISUAL
cropResistant
|
e43633337369ce4c,67e7e746b3b37939,3b737b367f33071f |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.