Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T140C152738014C91A5FABD248F7C1E5DCA297C32AFA3189C3A2A5506F6BC4EF4586137C |
|
CONTENT
ssdeep
|
96:LhoUOCbaR1sYolnNWzCfMmORR1E8VConzSQcPIgll:VIdouOfMmUU8VCoY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
af0bd1b23e78d0b0 |
|
VISUAL
aHash
|
1d3dff0001ffffff |
|
VISUAL
dHash
|
79d1017777004500 |
|
VISUAL
wHash
|
0038f80000ffffff |
|
VISUAL
colorHash
|
07001000c00 |
|
VISUAL
cropResistant
|
79d1017777004500,015122027233b69c,0666969a7e1aab8a |
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.