Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T184A3D8F553A0A1E5144B93F8DB3B02A636622CFD6A12CA4853EC5FBCD6918ECCC59DC1 |
|
CONTENT
ssdeep
|
1536:LFLtS89541AJq9PF2eeiIKe83Pi3hiSyZOprsDMdKG7O7Fpdp1aJYD/zpiOF2Sfc:LFLs6Rin/c |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
86364d6d349cb2cd |
|
VISUAL
aHash
|
06747e3630303c7c |
|
VISUAL
dHash
|
e4ccccecede1e1ed |
|
VISUAL
wHash
|
16767e3634303c7c |
|
VISUAL
colorHash
|
38006000000 |
|
VISUAL
cropResistant
|
e4ccccecede1e1ed |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)