Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DBC28531A000273B019793C97751F31DA2E3A28AFB460D1593F8976DCBE7EA4DD5352A |
|
CONTENT
ssdeep
|
768:jpe/y5NfsjflZIGcZ0v7sOy2+y9BH4crIe:UlZIGcm7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c366fc3a912dc583 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
0c4cc4c2cccde300 |
|
VISUAL
wHash
|
80f6f2302400ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0080800458988000,940cccc6c8cccde3 |
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.