Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10653452055059C2B0AE746C9963A9B6970E98347C3270E4CFBF447AACF9ED2CDE3B115 |
|
CONTENT
ssdeep
|
768:41gD6xidOdk8uJVYogZOeN7JdsIx/j+Uf7sq:4zIObuUogZOeN7LsIxN7sq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c8ab7615dc87b416 |
|
VISUAL
aHash
|
fff9fbfd585830f0 |
|
VISUAL
dHash
|
b193d3f19090d4a4 |
|
VISUAL
wHash
|
df59db7d581800f0 |
|
VISUAL
colorHash
|
0fe00000000 |
|
VISUAL
cropResistant
|
b193d3f19090d4a4 |
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 72 techniques to evade detection by security scanners and make reverse engineering more difficult.