Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15EC2211221082A56C2F34D9894103A457282D74FC8719370D6BC5E7F1BE2AB6B799F7E |
|
CONTENT
ssdeep
|
384:TCVTVsVfQadeN0INjQRIwgU2CxHN5T2CWEqxUBzHHbh0Z:40MjS1XT57mZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
da2d42473d5aa5c6 |
|
VISUAL
aHash
|
00dfff8ffffcfcfc |
|
VISUAL
dHash
|
5436001818000808 |
|
VISUAL
wHash
|
0000818fcffcfcfc |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
06061c0c0c060408,0b07181800180808,0810303010101008,410008b2b2320c11,92d2dc988ca493cc |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.