Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F08196E3240A90B35093A7E2E2933B9F598BD745EB010D17D6BC4B8CA189FC5B07709D |
|
CONTENT
ssdeep
|
96:08UqFxM0N2uA00UtmR1ZaNvvekHVs51exhKAatPgTwR:HUqFxM0N2uA0bcR1ZgO4GAKhPgE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
88dc54336673b366 |
|
VISUAL
aHash
|
3c18181818181818 |
|
VISUAL
dHash
|
7032337171f171f1 |
|
VISUAL
wHash
|
3c183c3d3d3c3c3c |
|
VISUAL
colorHash
|
19600010000 |
|
VISUAL
cropResistant
|
dcccd48a8e84b68c,7032337171f171f1 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.