Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B80241D0C044DD3B531285D5FBB56B1FB5D2C349CB020A8493F842AB5BDED60DA27A9D |
|
CONTENT
ssdeep
|
192:QrHkhOhHWsnUyEhklLo2/ijzvpqQT6iaJi:QJLUHhUo2K5n6iaJi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc146d43391b394f |
|
VISUAL
aHash
|
00f7fffffffffb81 |
|
VISUAL
dHash
|
928ca030282b2317 |
|
VISUAL
wHash
|
00667edfe7a78181 |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
928ca030282b2317,42a280a0a0a2a0a0,a56000c2d2a2c282,01010451a8aad601 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.