Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T152C11131680ADE3751C2A2D0FA716B2FB2D5C244CBA327C266F8831D5BDAE51DE27590 |
|
CONTENT
ssdeep
|
96:Tw9SKt33p/JLeWCKZcGvb/Eo2Bdu99UcJdYrbTSSOSmOSfOSfOS7OSQW:SSKtnpcKZcGvb/H2BI99hMfSSOSmOSfJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c4663873cf29768c |
|
VISUAL
aHash
|
00383c3c3c24183c |
|
VISUAL
dHash
|
6070e0e0e0c8f0f0 |
|
VISUAL
wHash
|
b83c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
00000000180 |
|
VISUAL
cropResistant
|
5c3c30b07198380c,72e68b4ba9cb6999,69c4c68ac4963333,71a080a4a480a4e0,1496c64851c35339,6070e0e0e0c8f0f0,1661cc96b6f5690e |
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 24 techniques to evade detection by security scanners and make reverse engineering more difficult.