Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T141E13453924A74AA0611E1A5EF05BE0878DE04FEFB72252111FC1DBF35E7BB48936219 |
|
CONTENT
ssdeep
|
96:URvKONvpKSjjm43wPxlsSSTaflSTa4STa0WbvSTx/PsCNSY1STHZaRlScrTBFP:URf3pisP+8+x+0T9XsCMYk7ZaRtHBF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2390dd62879d62d |
|
VISUAL
aHash
|
006c8800e6f62c34 |
|
VISUAL
dHash
|
9cd83219cccc68ed |
|
VISUAL
wHash
|
007efc40fefe2834 |
|
VISUAL
colorHash
|
3a006000000 |
|
VISUAL
cropResistant
|
4f7ce1873c60c18c,e0eaff033cf4c006,07c0d0dc0ce07c1f,9cd83219cccc68ed |
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 132 techniques to evade detection by security scanners and make reverse engineering more difficult.