Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C192F923D318063A700342F4725D3987A29476C4CBB36168F3AB4706AED7DF741A63B9 |
|
CONTENT
ssdeep
|
384:4Rv3bI2hEIHUZrytbB+1QNBYpwLy4LkSr:D2sZrCQeBYpwLyi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8e313f723626361b |
|
VISUAL
aHash
|
00fffffffcfc3f3f |
|
VISUAL
dHash
|
acd3b0a5d9896666 |
|
VISUAL
wHash
|
007f18377c703f17 |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
acd3b0a5d9816666,002d8dad2f2f8d4c |
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 815 techniques to evade detection by security scanners and make reverse engineering more difficult.