Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18BE3D9B0A09C0927E9536E56CAF1E7EB31E9E284A9115014DDB480D7DFD3C2D5C3E2AB |
|
CONTENT
ssdeep
|
768:01Lm8CyRUpK1PNuVG2quRuNig7b944kyzBJqM6jppUF0cdXb+Bifuri+BbeK2Bba:BuPl447+TUF39RfYGj51C |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9738856ba5738527 |
|
VISUAL
aHash
|
0ebe3e9e0000263e |
|
VISUAL
dHash
|
74786c7864704c64 |
|
VISUAL
wHash
|
1ebe3ebe000ca63e |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
9010310c13311387,cd84a7a70b266767,0973061b278e13b6,65e1e16564648da9,74786c7864704c64 |
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 278 techniques to evade detection by security scanners and make reverse engineering more difficult.