Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T182835832D393581390AFD2D9B171474923528B89CB134BB563FD27BAFACDCB52623258 |
|
CONTENT
ssdeep
|
1536:qpFu0Ch7+FlXh5eRPUgOq6UaUpeqHeMqbUI12QQZ4HHbgIleojNoLR64JS6pcbCy:q7xIPUgOq6AdZflJDBvBLgJeJPJaJVJB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e98e363193c9ce31 |
|
VISUAL
aHash
|
c3c3fbfbcbcbc9eb |
|
VISUAL
dHash
|
2a26a3d39b9b9b93 |
|
VISUAL
wHash
|
8383f1e9c9c9c9c9 |
|
VISUAL
colorHash
|
07200038000 |
|
VISUAL
cropResistant
|
2a26a3d39b9b9b93,715964f835272b2b,d7693248cccc446c,9e5676765e664e90,97c46931f1e1a0ac,b2bcb89f868e8e83 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.