Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T121A36833411935274437C6D530B55B3BD2A6DA4FFAA70A010EECD7EA6BFACA0744B11A |
|
CONTENT
ssdeep
|
1536:JuN8Lz4NP/y9svbliCdfyjQFtiuCa28y2O9:QsmAwc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d323f532d46c944b |
|
VISUAL
aHash
|
00000000000400ff |
|
VISUAL
dHash
|
0c4942e0c9dd63f0 |
|
VISUAL
wHash
|
c3ef38383c0d00ff |
|
VISUAL
colorHash
|
39038000400 |
|
VISUAL
cropResistant
|
61680001387080a0,0c494ae0c0c99d63 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.