Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11E218622805174AF022311FFFE735394A086A21DF1626D00B6B841BA9BE4E52C81654B |
|
CONTENT
ssdeep
|
24:hR01APpXoGaLp4zMvh2bnR5M7d692BeT7wl7groz6LVhika:TG6pXw4zMvhqR5M7gaeT7wOcn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e257f12ad3a351a8 |
|
VISUAL
aHash
|
e4d20a243501c3c1 |
|
VISUAL
dHash
|
4d36364d61379b97 |
|
VISUAL
wHash
|
ecd60e34351183c3 |
|
VISUAL
colorHash
|
38001c00000 |
|
VISUAL
cropResistant
|
cbd74e9932e8d0a0,a280a28c8c8a80a2,4d36364d61379b97 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.