Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16C527433A500DD294E9B51CCF2C096C9525ED349FB3148C7A5A051BF7BC8DF129A93AD |
|
CONTENT
ssdeep
|
192:HymW/fYYcrcYchypOBuqbkxwMcnthWeNWbiTGzkgFrfMmUU8VComrL:ecrcYchypOUqJGzkgFrfMmUFComrL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9ce7c138c706f80f |
|
VISUAL
aHash
|
1f1f1f071f8f0f3f |
|
VISUAL
dHash
|
3cbc7c6d30bcb460 |
|
VISUAL
wHash
|
0f0f0f070f0f0f1f |
|
VISUAL
colorHash
|
07002400050 |
|
VISUAL
cropResistant
|
3cbc7c6d30bcb460,3393159312a1cd3c |
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.