Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T148D370D56618438CA047CA7DEF2FFE05131FB5AABA548980298EC268D5CF8D2F71752C |
|
CONTENT
ssdeep
|
1536:aI0RQ7H6IMfLVDmlkkFsR8MLqc2VFsR8MLqcMv:N0RQ7HxYDmAnm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b3664ce6329919 |
|
VISUAL
aHash
|
ffffffffffff00ff |
|
VISUAL
dHash
|
0c081c0c08100808 |
|
VISUAL
wHash
|
e4e4c0c0fcfc00e0 |
|
VISUAL
colorHash
|
07000040006 |
|
VISUAL
cropResistant
|
0c080c140c080000,0000000c0c080000,0000000000000000 |
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 83 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)