Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T108415170A1014D294087D3A876F1E74F2B7B8348EF57095823E5ABA277CEE98CD5B4C2 |
|
CONTENT
ssdeep
|
48:T6a6zdGUw4yk8WZHPvrcQ2vC0Ksy1DN15:T6XzJw4yk1ZHPTcQhd1515 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a627d999592666b4 |
|
VISUAL
aHash
|
7f7f6723f7e7fffb |
|
VISUAL
dHash
|
dbcdcc8daeaeb2a3 |
|
VISUAL
wHash
|
097f630142e3dff0 |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
dbcdcc8daeaeb2a3,097676f9a93c3281 |
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 21 techniques to evade detection by security scanners and make reverse engineering more difficult.