Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T112235A726732B86843DB91EEF7383D46B2D6489DE8C74410F5C95A8E23C3C916297BB4 |
|
CONTENT
ssdeep
|
768:al+EsZx8/G8s4/Daw3MmBawsMmBK7Ucix+y9dQpUDF1E56ITmHDLBABW8KPqDvt9:al+EsZ/83/Daw3MmBawsMmBK7UXx+y9+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
af9d91c1c4f191c5 |
|
VISUAL
aHash
|
8181818181818181 |
|
VISUAL
dHash
|
7171716545495155 |
|
VISUAL
wHash
|
ff999d81a18181bd |
|
VISUAL
colorHash
|
31007000000 |
|
VISUAL
cropResistant
|
7171716545495155,b3f971a3ccc890a8 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)