Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10DD29572E210263F1257C3CA7722F35AE2E39289DA5A081593FC879D4BD7E60DD2351B |
|
CONTENT
ssdeep
|
768:cvSzy5NFSRuSD+6R8yFdK3/oeC7sOy2+y9BH4crIe:cU5hR8r3//C7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343f53a9038cde3 |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
c8c3c3c8cdc98b00 |
|
VISUAL
wHash
|
64f370300401ffff |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
0080a00458988000,c8cbc3c2cccdc90b |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.