Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C6235A726722B8A843DB91EEF73C2D56B2D2489DF8C74410F5C95A8D23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:a6J+S+EsZx8/G8i4rDawqMSBtwlMSBgqN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKs:a6+EsZ/81rDawqMSBtwlMSBBN2/y9dGn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f68688785ea6ae8 |
|
VISUAL
aHash
|
808080bebebebebe |
|
VISUAL
dHash
|
6c786c7c686c6c6c |
|
VISUAL
wHash
|
8080809ebebebebe |
|
VISUAL
colorHash
|
130020001c0 |
|
VISUAL
cropResistant
|
6c786c7c686c6c6c,ec108a8a8eca26c6,b5da8ab657b29a4d,e06381e561696307,d4f0ecf4d4d4d4d4 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.