Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14E83E7F6E388AA75F11363D4F1A062151227257EDF07CAC8DBBC52B4ABC1C985C37A85 |
|
CONTENT
ssdeep
|
768:75/jPPX/vCiW2p6kuaS5Wcu/J0FfBP5/jPPX/vmbeZNte/fQAeJeSeyzqAHAze33:YVQedeQAeJeSeyzqAHAzeKy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ad056d963a127ad6 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
97c7c7d93323373b |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
03400030000 |
|
VISUAL
cropResistant
|
57c7c7993223363b,ee6131969496a629,52d28eeacacc6973,dcdeaed8d8a6d0c4,dc5716c7c7e7d9cf,7fffffffffffffff |
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 13 techniques to evade detection by security scanners and make reverse engineering more difficult.