Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14932F0E1D064ED36476291C5BBB17F1B77E1C388CF02094453F8536BABCADA18A225A9 |
|
CONTENT
ssdeep
|
96:TkfSZ/zYh7MSftVSTVmUKxhUSPRttb8v67/ADudiHkIlr9XTHlKNXrHl61XlE/FB:QfG/zYhhCh9c/l8ieudSt4OEqsJ7lU8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c16446589bde92bb |
|
VISUAL
aHash
|
5040c7ffef5fff7f |
|
VISUAL
dHash
|
94868eb29abaa2d0 |
|
VISUAL
wHash
|
4042425a6a5eff3f |
|
VISUAL
colorHash
|
07000000081 |
|
VISUAL
cropResistant
|
94868eb29abaa2d0,8980888888ca0040,48484848c88848c8 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.