Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T130234B726732B4B843DB91EEE73C2D55B2D2588DF8CB4554B1C95A8E23C3C806297BB4 |
|
CONTENT
ssdeep
|
768:aADZ+EsZx8/G8tp4QJDawJMjBWw+MjBPwZCN2/y9dGDTDiJE56ITmH+LCBlvNPqR:aADZ+EsZ/8tqQJDawJMjBWw+MjBPwcNc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9111ee5e89ee3585 |
|
VISUAL
aHash
|
00000a0a0f00ffff |
|
VISUAL
dHash
|
259a9a9a9adaa500 |
|
VISUAL
wHash
|
000a0f0f0f0affff |
|
VISUAL
colorHash
|
1bc00200000 |
|
VISUAL
cropResistant
|
00000c0c0c080028,7438785c3cbc9dac,fee9e9c1e2e6c881,4000000000000000,259a9a9a9a9a9ade |
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.