Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12C04D771425925FE111BF3E5E5606B1D72DB62EFFB138A0482FC9A55EB85CA8CD0ACC0 |
|
CONTENT
ssdeep
|
3072:Z0t9kAm2P2EXHqWEvkodEl9znkm0ofG7P9sn15dsAdb7pb3:Z0T7pb3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3996c96936dc492 |
|
VISUAL
aHash
|
7e103a282c763030 |
|
VISUAL
dHash
|
dc60505a69a4c440 |
|
VISUAL
wHash
|
7e007e287ef73070 |
|
VISUAL
colorHash
|
07008000c00 |
|
VISUAL
cropResistant
|
dc60505a69a4c440 |
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 188 techniques to evade detection by security scanners and make reverse engineering more difficult.