Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T107235A726732B8B843CB91DEF7382E46A2D2988DF9C74594B5C95ACD13C3C806197BB4 |
|
CONTENT
ssdeep
|
768:ay+EsZx8/G8ZWRF46Daw/M5BJw9M5BCqN2/y9dGDUDF1E56ITmH+LXPnTyPqDvlP:ay+EsZ/8Z4O6Daw/M5BJw9M5BTN2/y96 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ab3a3e6a6a36222b |
|
VISUAL
aHash
|
00ffbffff9fdffa1 |
|
VISUAL
dHash
|
0d595b6b2b29656b |
|
VISUAL
wHash
|
00af2fb9c9c1ff01 |
|
VISUAL
colorHash
|
07006001200 |
|
VISUAL
cropResistant
|
0d595b6b2b29656b,c011111111c00000 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.