Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A1A37833411975274037C6D130A95B3BD2A69A5FF9A70A010EECD7FB2BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:+ScLz4NP/y9svbliCduIIIII/VceVruFtiuCa28y2O9:FimAzef |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363bd3a914ddc12 |
|
VISUAL
aHash
|
00003020040000ff |
|
VISUAL
dHash
|
9fcbc5c8cc4cd0bc |
|
VISUAL
wHash
|
006774747e043cff |
|
VISUAL
colorHash
|
31600000010 |
|
VISUAL
cropResistant
|
0080900030308080,97cfc1c4ccec4cd0 |
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.