Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T109236130A010A93301C7A3D4A7356B5BB7C1C344CB57070A66F9CB5EAFEBC64ED5A6A4 |
|
CONTENT
ssdeep
|
768:hPKyvXyTO90Ysqoq2a2M2hO49COPLoLI6ujo/Q5tD8aeeOMXf:hiyvj90YWqzh2O4AOPLoD45tBXf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec6c9292ca6de4c3 |
|
VISUAL
aHash
|
ffcbd191f9ffffff |
|
VISUAL
dHash
|
a0333323a38c2aab |
|
VISUAL
wHash
|
7f8b919170e4cb43 |
|
VISUAL
colorHash
|
07407000000 |
|
VISUAL
cropResistant
|
a0333323a38c2aab,1b5b996d6d292bf2 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.