Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E8325133E100CD2A4A9B95CCF2C09688515ED349FB3148CAB1A091FF7BC9DF069A57AD |
|
CONTENT
ssdeep
|
192:Ax3JkYcdcMchbqdcjMDv0xPcMcnthWeNWb9klv1zfLfMmUU8VCoa:ScdcMchudcADCklv1zfLfMmUFCoa |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333cccc8c3ec863 |
|
VISUAL
aHash
|
ffc7c787c7ffffff |
|
VISUAL
dHash
|
400d0d0d0d000800 |
|
VISUAL
wHash
|
78000000043c0d0c |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
400d0d0d0d000800,ecb4f7d9e4f3739f |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.