Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1447284356264693F5057C3DCA7F5AA2F22CDE255C69B0A1487E8C3AC1BD7CA4ED43AC0 |
|
CONTENT
ssdeep
|
192:M9Eaavbm0eNiLBsbMM5mbkEPCEfDHhRSIj8J9lEBSupBAH5Cv4pedFeEGtN0:M90jRXQMNbXPJe/lEBSwBAZMmeKEGty |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
98cb6766323199ce |
|
VISUAL
aHash
|
00183c3c3c3c1800 |
|
VISUAL
dHash
|
0d7171717171710e |
|
VISUAL
wHash
|
003c3c3c3d3d3f0f |
|
VISUAL
colorHash
|
07000008180 |
|
VISUAL
cropResistant
|
96b2e4e6e6e66631,0d7171717171710e |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.