Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13CF11FF1D040ED3B035386D5A7B9AF0B7691C749CB070A4593F883AAAFDACA0CF11599 |
|
CONTENT
ssdeep
|
192:Q2BCo9fVnfzDQylt8iIGKICCl+LoK4X8v7yPsqw:Q2BCo9fNU+1ZDCCl+LRV7Wsqw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4649b9b6c64c762 |
|
VISUAL
aHash
|
ffdff3d3d3ffffff |
|
VISUAL
dHash
|
001626a626000400 |
|
VISUAL
wHash
|
3f030303030f3f3f |
|
VISUAL
colorHash
|
07000400030 |
|
VISUAL
cropResistant
|
001626a626000400 |
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 61 techniques to evade detection by security scanners and make reverse engineering more difficult.