Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13391E9B490249D339192D6D876B56B1F32C3E398CB83470A67FCC79D2BEAD5ADC10154 |
|
CONTENT
ssdeep
|
48:T7YpcrUC1N+63eIEZnGI7xwoHuImN6wH84uH0nHKrtfNCjpmxa:TuHC1xetwoHpst84cVUYw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d9dc00c867b326dd |
|
VISUAL
aHash
|
f8fcfea7fbd96f00 |
|
VISUAL
dHash
|
60b0a80e53b3d9cc |
|
VISUAL
wHash
|
f8fcde80fb590d00 |
|
VISUAL
colorHash
|
07001000080 |
|
VISUAL
cropResistant
|
60b0a80e53b3d9cc,6c6c6f6f6f6c6c6c |
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 283 techniques to evade detection by security scanners and make reverse engineering more difficult.