Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EB224033B600CC2A8DAB56CCF6C49589451EC386FA3148CA71A081FFBBD5CF165A979D |
|
CONTENT
ssdeep
|
192:Uwk0ORduWy4RGJnxSiMcnthWeNWbzfMmUU8VCow8E:muWy4QKJfMmUFCo5E |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b13131cececec698 |
|
VISUAL
aHash
|
c3c3c3ffffffffff |
|
VISUAL
dHash
|
0c96960c30000001 |
|
VISUAL
wHash
|
0000003c0f0f0f0f |
|
VISUAL
colorHash
|
07001040043 |
|
VISUAL
cropResistant
|
0c96960c30000001,0000000000000000,8000000000000000,7131726a6e72314d |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)