Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DA04417179436826257F42EF9117170EB1C1C7C9CA52AFE5A2F0C328ABF1C90BFA2655 |
|
CONTENT
ssdeep
|
1536:6CTEobwW3yGMqwW3iG/swW3NG7eWxUvwSDcjGaIUt7QvqSDchG/J4Ut7PvRSDcna:rTXSWSVGZfje2eor6w |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
954afc25db63344a |
|
VISUAL
aHash
|
0000266c0c0667ff |
|
VISUAL
dHash
|
9c6ad4d8d8ded630 |
|
VISUAL
wHash
|
00026e6e2e067fff |
|
VISUAL
colorHash
|
02006000040 |
|
VISUAL
cropResistant
|
fbecd4d4dbd8de96,ed3212a930803434,0004238c9c2304b0,deded6d696969679 |
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 194 techniques to evade detection by security scanners and make reverse engineering more difficult.