Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T160615123915B906FA20983C192F1F6A7E457C50EDE704F81EA9A0BDBE5C9FA1B07215C |
|
CONTENT
ssdeep
|
48:1SOE1Ouz/CGCvj+/sTn/6aTNVmwNMM0LqNPbvp/VgozxqPtcc9SmVgozGLqPPRyy:1akuzj42s/fqM0SNGgqvMt6GsPRyTXe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc66339966679934 |
|
VISUAL
aHash
|
0018181818181800 |
|
VISUAL
dHash
|
0830b2b2b2b2300c |
|
VISUAL
wHash
|
81999999b9b99981 |
|
VISUAL
colorHash
|
38000030001 |
|
VISUAL
cropResistant
|
c9c9b6d4b6a47931,14209e9e9e966804,0830b2b2b2b2300c |
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.