Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A5125037A050A42E0E9791DCFAD4F36DA49F824AF731888661F4813FBA91CED643139D |
|
CONTENT
ssdeep
|
96:/63pLLqsSpLL9HpLLTC7aR1stjqSlnezIfzjUIZcNFFSH0kC4dc+P/zvRzsOBZdG:/YfqjfrflwjrswbZV2+XzvRNFv/3iZ/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bd6cc6303b926369 |
|
VISUAL
aHash
|
d393818181c3ffff |
|
VISUAL
dHash
|
3737233b131b2c32 |
|
VISUAL
wHash
|
8383818181c3ffff |
|
VISUAL
colorHash
|
06e00008000 |
|
VISUAL
cropResistant
|
3737233b131b2c32,1121eec891918181,4840c4642428e618,f3f3e1f8d8b99139 |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.