Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15A9175E3F500485AD321E5F1AFD2F564E291568BC1A46D00E0EF02EE2ED8EB5F873129 |
|
CONTENT
ssdeep
|
96:BdFRhidPEHrTNdLrnai+6Qml4t4ZRwafB6DmsPpn:NRh9Trnai+6Qml4tQwGBmpn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c82f32c36c937c6c |
|
VISUAL
aHash
|
000000f0f8fcfcf8 |
|
VISUAL
dHash
|
0070309060d1d920 |
|
VISUAL
wHash
|
003098f8f8fcfcf8 |
|
VISUAL
colorHash
|
180012400c0 |
|
VISUAL
cropResistant
|
90c070188c1860e0,98cce3e1f8f1c38e,0070309060d1d920 |
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 258 techniques to evade detection by security scanners and make reverse engineering more difficult.