Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1746398339115203A13234BE5A4A53F59F2A7DB4FC707059CA7F9C2A96FD5CE18E220B9 |
|
CONTENT
ssdeep
|
1536:DQz+LKkBIaiRLbNbQKTQ8VKhN6yq5gucOHIY96OxV53yQaQqUqS3Ro+PNBZEuswl:DUU0D9zusBQ/M6RLKEC+pIL66FAStXhr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c8fb3b1a4ce8c99 |
|
VISUAL
aHash
|
ff003818180000ff |
|
VISUAL
dHash
|
7271733133317171 |
|
VISUAL
wHash
|
ff00b999989880ff |
|
VISUAL
colorHash
|
31008008c00 |
|
VISUAL
cropResistant
|
7271733133317171,72f132b2b2b0b0f0 |
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 50 techniques to evade detection by security scanners and make reverse engineering more difficult.