Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ECF398617A63A935319F62CFD2172B0D61C2E7CAC68417E4A2F042749AB1DE0FED31D8 |
|
CONTENT
ssdeep
|
1536:w1kgyKLEJ7grkiKM7XMSv4JJ7MJ7R1ifHvwO7R2rkJmhDp0prd:wKK8yO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c02f2a74747ba88f |
|
VISUAL
aHash
|
00007ffe7e44fcfc |
|
VISUAL
dHash
|
1361cec4d494c9e9 |
|
VISUAL
wHash
|
00003ffe7e40fcfc |
|
VISUAL
colorHash
|
07200008180 |
|
VISUAL
cropResistant
|
0812323232323004,64dfccc4949448e9,232b95f46960d0d8,3971e3c68e397264,0fc3d1e3e2c3a331,139323353577073f,07937119c9b32387 |
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 32 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)