Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F1C36CF0F6507267021743D5B07B2349B23F562FDB0E4AA4F358E6817AE5C96AC8768C |
|
CONTENT
ssdeep
|
1536:qm04kg1s25RiOpK+Lmk3CKqCn5VWyTDJxQG:qmP2CiY955sG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dd0255aed32c519e |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
d033320428363628 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
1b000600030 |
|
VISUAL
cropResistant
|
0420263636260822,dc320c7032320c10 |
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 349 techniques to evade detection by security scanners and make reverse engineering more difficult.