Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A83135B02105DDBB1083CBF44BB5960AA3C2C766C9571B4443F8D79D2EEBD86CDA2185 |
|
CONTENT
ssdeep
|
24:hm8CFTteADV+Xmg9dQZ4ShjSH/iBSYOLqvSqNEN9uy/iOJV4VPeho:WTwIIDzfUjSH6BSyvSqaH7JVsWo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a2e2dd8d7266d88c |
|
VISUAL
aHash
|
7f3f2727071f0707 |
|
VISUAL
dHash
|
ffffcfcdcfffff7f |
|
VISUAL
wHash
|
7f3f0707070f0707 |
|
VISUAL
colorHash
|
00000000070 |
|
VISUAL
cropResistant
|
ffdfffffffffffff,ffffcfcdcfffff7f |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.