Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17AD2B633B210263F0267C2CD7721B75AE2D35249EA860C4596FC87AE1BE7E40EF13656 |
|
CONTENT
ssdeep
|
768:zSzy5NR3ZJfx/gu8PANeXg22T7sOy2+y9BH4crIe:ZZJP8PAoK7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363f53a9c3889e1 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
cccfc3e8cdc98b00 |
|
VISUAL
wHash
|
64f370100405ffff |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
0080a00458988000,cccdc3e2c8cdc90b |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.