Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16DD134E1C414DD3707168AD4E7FA6F0BB651C74ACB43194097F883ABABDACA0CB2595C |
|
CONTENT
ssdeep
|
96:TkZ96FTMOeOlMOnzeNNeSTgG4yt7JNLyt7JO8Fqc4PXbHFoyXRz/8Xt7JJ6yJ:QZ96FTZblZnzeTkG4yrNLyrOXpzirJ5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b030cfcf3830e733 |
|
VISUAL
aHash
|
ffff878787ffffff |
|
VISUAL
dHash
|
000a1e1e1e061c00 |
|
VISUAL
wHash
|
0087838383f33f3f |
|
VISUAL
colorHash
|
07c01000000 |
|
VISUAL
cropResistant
|
000a1e1e1e061c00,c9c9464e66664447 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.