Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14A236438B180263611C7CBE3F651AF6DA5ECC74FDA479D96E7E8C2470BCAC55CA12260 |
|
CONTENT
ssdeep
|
768:zlms1WeTbDfgT8QbEa2XA3ALB3vAnHb4df2eCck5kZUf72:Zms1kG3vi772 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
95daca29812bb73a |
|
VISUAL
aHash
|
ffdc8e3e020200ff |
|
VISUAL
dHash
|
cbb03cd6deda1ad4 |
|
VISUAL
wHash
|
ffdc8e3e020200ff |
|
VISUAL
colorHash
|
1e006000040 |
|
VISUAL
cropResistant
|
cbb0385cd6deda3a,2b00040000000000,fffffffefdf7e6d6,b0307cd6deda3a93 |
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 71 techniques to evade detection by security scanners and make reverse engineering more difficult.