Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17E235A72A332B86843DB92EDF7393A45B2D2588DF8CB4554F5C95A8D13C3C806197BB4 |
|
CONTENT
ssdeep
|
768:aJ+EsZx8/G8DQ4UDatRMmB8otxMmB8k7Ucix+y9dQpUDF1E56ITmHDLBABW8KPqT:aJ+EsZ/8DzUDatRMmBdtxMmBz7UXx+yI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fbc46e9191e6c0d1 |
|
VISUAL
aHash
|
a581a1818d818181 |
|
VISUAL
dHash
|
6901451919194115 |
|
VISUAL
wHash
|
ff81e1cdcf898181 |
|
VISUAL
colorHash
|
3a200038000 |
|
VISUAL
cropResistant
|
6901451919194115,f2f9e97cb08ef0c0,78208498989a40b1 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.