Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T117A3ED234259752A4437C3D0306A6B3BD1A69D8FFAE709011EDCCBFB2AFAC90745A51D |
|
CONTENT
ssdeep
|
1536:+awtpR4nXBKpSpFl26vLSZKvQsIbWumJIMJu:oUM2QfbWjdJu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92456d13134e6f6d |
|
VISUAL
aHash
|
001f033f7f0f0187 |
|
VISUAL
dHash
|
d8bf75dcdcdcb33f |
|
VISUAL
wHash
|
000f033f7f0f079f |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
fd277cd8dcbca73f,dcbf37dcdcdcb777,5a4ba34d4db23636,0e430513161c3424,94230d3333050921 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.