Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12F25EE21B650BC16C1035DCF9620D925BB4DF339CE1A53D6F7801A379BA6CA17DBB828 |
|
CONTENT
ssdeep
|
12288:5dzXg9hRfJOz0spSIHzIc75/ZUIeyu2eUXwxEJ06J1nLAK3RSUcNV:5OEQOI85CyGV5G1pYUkV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a45bbfc1cc36518c |
|
VISUAL
aHash
|
0606060670620707 |
|
VISUAL
dHash
|
baceccccc4c69e66 |
|
VISUAL
wHash
|
0f0766667e670707 |
|
VISUAL
colorHash
|
32e00000001 |
|
VISUAL
cropResistant
|
8888888c8c8808c8,888ae8efef8a08ca,a28080930b8680a0,1e1a2343530e7272,baceccccc4c69e66 |
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 391 techniques to evade detection by security scanners and make reverse engineering more difficult.