Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E7235B726322B4B843DB91EEFB382D56B2C1489DF8C74554F5C95A8E23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:a3+EsZx8/G8S4vDawMMcBYwkMcBXw9r82+/9dtZkDieE565TmHEnkvdhfVPqDv3A:a3+EsZ/8lvDawMMcBYwkMcBXwh82+/9n |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3cc3c3c2e6c6c2 |
|
VISUAL
aHash
|
c3818181ffffffff |
|
VISUAL
dHash
|
2b33333b61020000 |
|
VISUAL
wHash
|
8100000081ffffff |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
2b33333b61020000,7fde9e33f0ecf7ff |
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.