Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15662AA3195896A3B06B7138047C3FB1BF3849285E1134ECDDAFD874AC689DE8DD7261A |
|
CONTENT
ssdeep
|
384:a44CUGlrh5WvvSmMpSkbNMQmIxLhco6FH3:a44w/0Sm4SkmaxL+osH3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cd3d279c8d353126 |
|
VISUAL
aHash
|
3a3c181818183c3c |
|
VISUAL
dHash
|
e261b2b2b2b2e0c0 |
|
VISUAL
wHash
|
ff3c18183c187c7c |
|
VISUAL
colorHash
|
30200038000 |
|
VISUAL
cropResistant
|
68e89099f16c9db1,1aacc5deece05087,c8c86b2f276b7969,e261b2b2b2b2e0c0 |
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 16 techniques to evade detection by security scanners and make reverse engineering more difficult.