Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E9E2B7316100763B029B83DEB352F72EA2A78349DB4A085691FD837D5FE3D60CA7355A |
|
CONTENT
ssdeep
|
768:5S5y5NaeBHC3RmG0q7J82p1377eb7Objla7sOy2+y9BH4cLIe:3B8N8v7Ca7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9269ec12cd2d92ed |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
19094b6bc90c3300 |
|
VISUAL
wHash
|
80e5e301040effff |
|
VISUAL
colorHash
|
39400038000 |
|
VISUAL
cropResistant
|
fefeffdfdffffffe,0080800078908000,1409494b4bc9dc30 |
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.