Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B6221F33F600DD2A499B558CF6C096894A5EC34AF72148CA71A480FF7BC4DF0699AB9D |
|
CONTENT
ssdeep
|
192:D5hvMYcpcLchlIBc6HBAHxkFsMcnthWeNWblfMmUU8VCo9:LcpcLch6O6hNBfMmUFCo9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b33333cccccccc89 |
|
VISUAL
aHash
|
e7c3e7ffffffffff |
|
VISUAL
dHash
|
4d4d4c2004000001 |
|
VISUAL
wHash
|
e4e4e4fc0c0c0f0f |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
4d4d4c2004000001,a28082a280bac4c4,012421f272ee7233 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)