Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T103F1F1E1C044DC3A135386D5F7B53B5FB6A6C345CF02098853F852AA5BDBCA0CA23A99 |
|
CONTENT
ssdeep
|
96:TkfM7kh4lzH0XfeGnV28KEuwvFPedXBHFXexXoz//V2YAQGR:QfM7kh4lzH0X1nRKEy7cSz3dAQc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
84394444bbd47b7b |
|
VISUAL
aHash
|
0000dbff00007eff |
|
VISUAL
dHash
|
ccb233000ba4accc |
|
VISUAL
wHash
|
0000ffffa10076ff |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
808a333300320848,acacaeaeacac1180,05a480a280aa2333,03210115916b6971,8411ac8cacaeacac |
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 62 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)