Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DE531C315410A82702EB96C86636231B63E28309CA534B89FBF9C7ED5BEBC1DCD37955 |
|
CONTENT
ssdeep
|
1536:qsIx1hKlXX9XIOkeeeKeeeueeeMeeeQrpa3o79o:qxhK3grA3o7G |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
96a993d9e45aec12 |
|
VISUAL
aHash
|
ff7f000002000cff |
|
VISUAL
dHash
|
d0cf2d8586949c6c |
|
VISUAL
wHash
|
ffff016062000cff |
|
VISUAL
colorHash
|
032000001c0 |
|
VISUAL
cropResistant
|
4444dad0cb0f2faf,7c60795b5bd2c2c2,8898989898989888,2c206cececc7c3c7,4b49ca221a6aeb68,1393d3d3f2f2f2e8,0002021262929049,8fa5858694959c6c |
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 69 techniques to evade detection by security scanners and make reverse engineering more difficult.