Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T107A37A33411935274437C6D530A55B3BD2A79A4FF9E70A010EEDD7EA2BFACA0B44B11A |
|
CONTENT
ssdeep
|
1536:Fee4V6UgqLz4NP/y9svbliCd9CoDIFtiuCa28y2O9:6mA8b |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c76bfd329269c502 |
|
VISUAL
aHash
|
00000000040000ff |
|
VISUAL
dHash
|
1c4dc3c3ccc4d1d8 |
|
VISUAL
wHash
|
c0fd71300e007eff |
|
VISUAL
colorHash
|
31000200038 |
|
VISUAL
cropResistant
|
d000c08018588090,1c4dc7e3c9cce6d0 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.