Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19D942BE063A02ABB419787E4B1717357F29B527ADA27D988F3DC87966BC7C2CCD01190 |
|
CONTENT
ssdeep
|
3072:Z55gvPRFael7CZtXZeiHPCuuUZs5RwL4ZujVgub5tIZ/rvLfqLLaZtmZeiHPCuuQ:1gvPRFae65 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c4069736f442d79e |
|
VISUAL
aHash
|
240000400000ffff |
|
VISUAL
dHash
|
ec42e0809600cd0a |
|
VISUAL
wHash
|
ff0078f00000ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
08000d0a10021233,eccc1280823500a8 |
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 75 techniques to evade detection by security scanners and make reverse engineering more difficult.