Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D6335C726631B8A883DB51EEFB382E49B2C6949DE8C74550F1C9568D23C7CD16283BB4 |
|
CONTENT
ssdeep
|
1536:ab+EsZ/8YUDDVR4MQBgRYMQBxDrpRXPZlQaQD9OehM+BrUgq4z:akoRxReDrpR/PkEeDz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ae1b9166d1ca95b1 |
|
VISUAL
aHash
|
ff8191918181b1ff |
|
VISUAL
dHash
|
6975756165656500 |
|
VISUAL
wHash
|
ff8191918181b1ff |
|
VISUAL
colorHash
|
0fe00008000 |
|
VISUAL
cropResistant
|
6975756165656500,33362274cce980e2,f9fa82a43393a2da,a202cc4b535102a2,fcfcf7e5e5e4e6a6 |
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.