Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F572F935B388237605C342B2FA1657DAE775C5DEC337828468F8C16C279AD51CAA37D8 |
|
CONTENT
ssdeep
|
384:yNFX8FwuAS9eLbjN/LF76ZupKFu3maS5D:twh7F76gpKoc5D |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c03fb991e5a1e1a5 |
|
VISUAL
aHash
|
621800607e7e7e7e |
|
VISUAL
dHash
|
ca69c0c6e4c8c0c4 |
|
VISUAL
wHash
|
423c00607e7e7e7e |
|
VISUAL
colorHash
|
18007000000 |
|
VISUAL
cropResistant
|
ca69c0c6e4c8c0c4 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.