Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A9A2343291402937419383C477B4FB5AA386824ECA170902AEF5C75E6FF3DA6DD1A72D |
|
CONTENT
ssdeep
|
384:gvs23bum4y/m5+/eu5S6bxDqEBY55eHed71kp:gvs2Lumf/m5+f4Gwbwp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee3a9594c3949965 |
|
VISUAL
aHash
|
ff818181c1f3f3f9 |
|
VISUAL
dHash
|
1925272b43272713 |
|
VISUAL
wHash
|
ff81818181b3b3f9 |
|
VISUAL
colorHash
|
06200000007 |
|
VISUAL
cropResistant
|
1925272b43272713,60d082c0c0808001,b2e2622aa9a98163,1cd7d71f8a05a2e2 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.