Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DDA36A33411935274437C6D130A55B3BD2A6DA5FFEA70A010EECD7EA2BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:MPxVQd6G7PKjJL2LpidhKcEOUuE84RW3qKLz4NP/y9svbliCdGJvFtiuCa28y2O9:vomA0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c342f538b939cd43 |
|
VISUAL
aHash
|
00202000000000ff |
|
VISUAL
dHash
|
98c4c0c8cce7cec8 |
|
VISUAL
wHash
|
40fc7878243703ff |
|
VISUAL
colorHash
|
31008000e00 |
|
VISUAL
cropResistant
|
ce00800030308080,98ccc0c2c8cde7ce |
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.