Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19C234B726732B8B843CB91EDF7382E46B2D6548DE8CB4590F5C9568D23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:a5ei+EsZx8/G8aHRF4QXDatYWM7BztwM7BVwZUcix+y9dQpUDF1E56ITmHDLBABx:a5ei+EsZ/8axOQXDatLM7BztwM7BVwZv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ba2cc55b9064c5db |
|
VISUAL
aHash
|
ff8181858d8181ff |
|
VISUAL
dHash
|
6319470d49694949 |
|
VISUAL
wHash
|
ff8181c58d8181ff |
|
VISUAL
colorHash
|
33000e00000 |
|
VISUAL
cropResistant
|
6319470d49694949,1fdeceaee6ced060,6318868c8ca852ca |
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.