Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D243853653442B3D696787F9F6A0B378429ED398E667856AF3AD03720BCAC05D9331C4 |
|
CONTENT
ssdeep
|
768:QUBU4UQRBG/Wj7wNZ2K2+LHfM4hOxSzUqvxxBOQxSk/K5xxknNT/rbxx1ccjOj8R:Hq7tA6kq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
998da52535ad8d99 |
|
VISUAL
aHash
|
03183c000c000046 |
|
VISUAL
dHash
|
8671712869729c8c |
|
VISUAL
wHash
|
53183c3c3c00ff7e |
|
VISUAL
colorHash
|
38200030000 |
|
VISUAL
cropResistant
|
1796955949b5b62b,8671712869729c8c |
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 28 techniques to evade detection by security scanners and make reverse engineering more difficult.