Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T136235B736722B87883DB91EEF73C2E56B2C6948DE8C74450B5C95A8D23C3C816187BB4 |
|
CONTENT
ssdeep
|
768:a9r0+EsZx8/G8yRF4Q8DawNkMLBzwiMLBVwZUcix+y9dQpUDF1E56ITmHDLBABWo:a9r0+EsZ/8UOQ8DawNkMLBzwiMLBVwZt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bfc7f0c5d0d0d0d0 |
|
VISUAL
aHash
|
bf81818181818181 |
|
VISUAL
dHash
|
7d79697d6d6f7f7f |
|
VISUAL
wHash
|
bf8f8f8587818383 |
|
VISUAL
colorHash
|
010020001c0 |
|
VISUAL
cropResistant
|
7d79697d6d6f7f7f,f5fdddfdcddfffff |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.