Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18AC29571B1142A3B41A7C3C97756E32E93E39289EB450C0653FC876D4BD7E90EE2312A |
|
CONTENT
ssdeep
|
768:pSzy5Nh2Typj80pnwkgPrpeMof7sOy2+y9BH4cLIe:CTy/wlPr8lf7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343c53a983c39ed |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
c0c3c3c8cd09e600 |
|
VISUAL
wHash
|
68f370340001ffff |
|
VISUAL
colorHash
|
31000000c00 |
|
VISUAL
cropResistant
|
c400a00158d88000,98c3c3e2cdc919c4 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.