Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T197B3D7779318207F11678ACAFAEA0358759BC24EDD775840A3FD63A94BE6CC0FB25604 |
|
CONTENT
ssdeep
|
1536:svM4PGFdm+A9gJR53IgDmisbIDtXPYlJdZjm4psLom7:svMBJV3iH/A |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c24d3a33e9c66c39 |
|
VISUAL
aHash
|
00007470603e0e01 |
|
VISUAL
dHash
|
dc3de4c4c3eccc93 |
|
VISUAL
wHash
|
04007e7c7d7f2f03 |
|
VISUAL
colorHash
|
38001c00000 |
|
VISUAL
cropResistant
|
ffffddb9b9ffffff,dc3de4c4c3eccc93 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.