Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T171735423D3531913A0BBC1D8B072478D2251468DC7534B79A7BD63BAB9CFDB63612398 |
|
CONTENT
ssdeep
|
1536:YgkaUJK0e3eAGVyzEf0Q57rl4pTMLHJelSfeeOdeeeidnMIsfHKr+RoqlkGAetew:hg57rl4pCVIcq2axQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c26d6d7297939807 |
|
VISUAL
aHash
|
00c1747e24fc7c7e |
|
VISUAL
dHash
|
0aa7c5cdcc95cddc |
|
VISUAL
wHash
|
00c1747e24fd7c7c |
|
VISUAL
colorHash
|
03000038000 |
|
VISUAL
cropResistant
|
0aa7c5cdcc95cddc,6448b2fa14152d29,6175d5353326648b |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)