Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13DA1857062095D7A9483C3E0F7F9772A51E4C385C75F1A8DA6FC82A93BC7D60CC22198 |
|
CONTENT
ssdeep
|
96:6Qu3k4obDO96aGoOxxK55S3mGwOYkOd5BFUOB7PtO:Juz8yAoOaBG7YkOd5B+ONtO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a3987d7798c92689 |
|
VISUAL
aHash
|
0f1f2f7f6ee4f8e0 |
|
VISUAL
dHash
|
fffae8e8c84c9202 |
|
VISUAL
wHash
|
070f1f3e7ee0e0e0 |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
fffae8e8c84c9202 |
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.