Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EB02856AB2452377079705FBF62F67DBA362885DE623029864F9812C47F0E91C236FC4 |
|
CONTENT
ssdeep
|
192:B2Jn/2ef9wW8nwLvwk1+SbGKm/Jlr2XyFx:B62efJ8nwq6iJq0x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b04f4bf9b0ba3234 |
|
VISUAL
aHash
|
000000ffffffffff |
|
VISUAL
dHash
|
69604496969e9e8c |
|
VISUAL
wHash
|
000000ffe7c7ffc7 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
69604496969e9e8c |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.