Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AD235B726732B86883DB91EEB7382D56B2D6489DF8C74410F5C95ACD23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:ar+EsZx8/G8S4qDatJMmB9tzMmBT7Ucix+y9dQpUDF1E56ITmHDLBABW8KPqDvts:ar+EsZ/8lqDatJMmB9tzMmBT7UXx+y9T |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3f3fc0c0c03d18 |
|
VISUAL
aHash
|
810101ffffffffff |
|
VISUAL
dHash
|
7f73770f0f070f17 |
|
VISUAL
wHash
|
000000e7e7c3ffff |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
7f73770f0f070f17,fffff3fbfff3f3ef |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.