Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T120F2C631A2003A3B419793CDB352EB2FA2E3824DDB5A054552F593AD1BF3DA5DE2341B |
|
CONTENT
ssdeep
|
768:Hvy5NPikEHpuGNpjsDqBYD1CR87sOy2+y9BH4c1Ie:7hhsDlxy87sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c367b81a9149c7cd |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
1c0ec3c3c07cf000 |
|
VISUAL
wHash
|
80f7f9200004ffff |
|
VISUAL
colorHash
|
39e00000000 |
|
VISUAL
cropResistant
|
1280800458988000,9c0ec3c3c3c0fcf0 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.