Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C5B3F023816A762B4437C3D030695B3BE5A6995FFAE70A400EDCC7F62BF9CA0745A11D |
|
CONTENT
ssdeep
|
1536:O3StpR4nXBKpSpFl26v0SZ6+MjZOeT/3I0+pY:3UM6M1Oez9+pY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93656d13134b6d65 |
|
VISUAL
aHash
|
001f032f6f0f0183 |
|
VISUAL
dHash
|
d9bf76dcdcb8bb27 |
|
VISUAL
wHash
|
000f033f7f1f078f |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
fd277cd8dcb9bb37,d8bd37dcdcfcbb67,536b996363cc5515,0e430513161c3424,94230d3333050921 |
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.