Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16874D7512BD0A85413AB8BB7733BB5E9F85E092F3D800D5BD100FD90799562AFBE2931 |
|
CONTENT
ssdeep
|
3072:mDRr0FsEAcfvUHLN5rUKqvSKFJTMJ1nxTePrFKELl9v4Kb:k0F0yULfUNvSEJg1nxTejFKEB9QKb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9e33654967983867 |
|
VISUAL
aHash
|
00381c3c2c1c3c3c |
|
VISUAL
dHash
|
49406d7169f16965 |
|
VISUAL
wHash
|
243c3c3c2c3c7e7c |
|
VISUAL
colorHash
|
08007000000 |
|
VISUAL
cropResistant
|
c774706178ac8ec5,2935b5b4ac69e9e5,49406d7169f16965 |
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 39683 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)