Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B5D25232B194363B41A7D3C9B321672BB2E3828DEB9A191153F9439D1BE7E11DD1342A |
|
CONTENT
ssdeep
|
768:je/GLe4U61lp/yyGcKW7sOy2+y9BH4cLIe:84JMfC7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d652f03a9969c5c9 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
1c0cc060cdcd8f00 |
|
VISUAL
wHash
|
00c4f0303507ffff |
|
VISUAL
colorHash
|
39000c000c0 |
|
VISUAL
cropResistant
|
0080800458988000,9c2cc4e0c8ddcd1f |
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.