Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T197B33C343515753B2B5383E670AA2607F3E9531BC80B8C2062F8E567BBE9C85E437B95 |
|
CONTENT
ssdeep
|
1536:2oeb3X6vS6k83Lx4TESLwsGSMBDLw1j90+1LmjzQ:2oeb3X6vS6k8yTTwsiW16+1b |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fbc4ab8d5a37c050 |
|
VISUAL
aHash
|
fffffc8cd8fe8dcd |
|
VISUAL
dHash
|
4963dc3810381919 |
|
VISUAL
wHash
|
ff9ff880c8f88181 |
|
VISUAL
colorHash
|
06002000043 |
|
VISUAL
cropResistant
|
4963dc3810381919,d4d4e0f40f6ab0b0,18d83371d0c10e26,000824b2b2348851,e4a6a6e6a4a4e4e4,8009618399a5a458 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)