Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F3C251B2E115C9370562D3E5AB71DB2FFAC1868ACD834582D2F8D34D2BC6D63DE56208 |
|
CONTENT
ssdeep
|
768:NYiyCY0YwyVDV8//eC8/s8/3JV9VjHCB7JVnVa4ZhCE56zVoTvvmIRv:t6a3UzFh8Xky7v |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93eccc3333cce431 |
|
VISUAL
aHash
|
3c3cff3c0c2c3c2c |
|
VISUAL
dHash
|
7959697959596959 |
|
VISUAL
wHash
|
3c3cff3c042c3c2c |
|
VISUAL
colorHash
|
07006000040 |
|
VISUAL
cropResistant
|
7959697959596959 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.