Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16D234BB26322B8A843DB91EEF7392D55B2D1489DF8C74514F5C95ACD23C3C806297BB4 |
|
CONTENT
ssdeep
|
768:aJ+EsZx8/G8s4FDawgMcBUwfzMcBdr82+/9dtZkDieE565TmHEnkvdhfVPqDv3AQ:aJ+EsZ/83FDawgMcBUwbMcBB82+/9dty |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ba6e6f6b90949191 |
|
VISUAL
aHash
|
0000ffffffffffff |
|
VISUAL
dHash
|
716114361a1e161e |
|
VISUAL
wHash
|
0000dfdfcfc3c3c3 |
|
VISUAL
colorHash
|
0e010000e00 |
|
VISUAL
cropResistant
|
716114361a1e161e,2086617186c83000 |
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.