Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T126E120F1D404ED3B035386D5B7BA6F4BB791C749CA030A4493F883AB9BCAD60CE11699 |
|
CONTENT
ssdeep
|
96:Tk31AbzDJ1tJMt8v67MIddtFVl8ukFwJXcHFYhXVz/sDytFp6fq2J:Q31AbzDJ1zMt8iIyd3VlEkzGy3paqw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4649b9b31b11bc6 |
|
VISUAL
aHash
|
fff3f3e3f3ffff00 |
|
VISUAL
dHash
|
0026260626100000 |
|
VISUAL
wHash
|
10000000f3ffff00 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
0026260626000600,fef833fce869dc7e,0000000000000000 |
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 58 techniques to evade detection by security scanners and make reverse engineering more difficult.