Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DEA37A33411935274437C6D530A55B3BE2E6994FFAA70A010EECD7EB2BFACA0745711A |
|
CONTENT
ssdeep
|
1536:s0wLz4NP/y9svbliCdk2QPs7HgrFtiuCa28y2O9:QmAiQQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c361c53a961ebc63 |
|
VISUAL
aHash
|
00600000000020ff |
|
VISUAL
dHash
|
c0c3c3cdcd0bc3f0 |
|
VISUAL
wHash
|
60ff782c250170ff |
|
VISUAL
colorHash
|
31000000c00 |
|
VISUAL
cropResistant
|
0880812030808080,c8c3c3e0cdc9cfc2 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.