Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B8D28572B0002B3B029783C97761B75FA2E39246DA87090666FCC75D5BD7F94DE2342A |
|
CONTENT
ssdeep
|
768:yEy5NFOUtDg7hSw79VVwq3eInSi1Q7sOy2+y9BH4crIe:RUtE7hS2wquL7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343d43ab929c5c7 |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
9cc5c3cbcd8c8300 |
|
VISUAL
wHash
|
00fff1210400ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
0080800458988000,cccdc7c3cbcd8c04 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)