Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D8C382D55618038CA14BDA7DEF2FFE05131FB1AABA5486802A4EC268D5CF8D2F71752C |
|
CONTENT
ssdeep
|
1536:IT0RQ7He72fQPtahQBlFsR8MLqcvXFsR8MLqcMv:c0RQ7H8dauqGm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee3193c693e590c6 |
|
VISUAL
aHash
|
ff81818191b1b999 |
|
VISUAL
dHash
|
3323232b2323233b |
|
VISUAL
wHash
|
ff818181b1b1b99d |
|
VISUAL
colorHash
|
16000e00000 |
|
VISUAL
cropResistant
|
3323232b2323233b,36232321212121a1,a2508b637377797a,c0c0c0d4c2e2c2f4,4f4d43cb8f97938b |
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 83 techniques to evade detection by security scanners and make reverse engineering more difficult.