Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D4D2A671A0205A3B01E781CCB7617F2EB2E74249D749184486FDC3B94F97E08ED336A6 |
|
CONTENT
ssdeep
|
768:aerVxDOR408hd84MpTJEut7sOy2+y9BH4cLIe:nxDP0kMHEut7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c743bd38b82cc6b2 |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
58c8c0c0c8e4c700 |
|
VISUAL
wHash
|
003870707c30ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
008080004c888000,09c8c8c0c888e4c2 |
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.