Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11AA41A513822246A4EB7F7C4F8A57F4AE592F306C429C605FEAC81521FCBCB37C945A6 |
|
CONTENT
ssdeep
|
1536:qpCsq8uvSNg+JaO05eMN/iKIedbccnU1p4rfaSi7b:lN/Fg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eb944d611ec57394 |
|
VISUAL
aHash
|
ffc3ffff81c1fb81 |
|
VISUAL
dHash
|
b5038e720d8bc307 |
|
VISUAL
wHash
|
5fc3c39f81c1f980 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
b5038e720d8bc307,db562c2d19094111,0101010101010101 |
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 239 techniques to evade detection by security scanners and make reverse engineering more difficult.