Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T172021FE1D100ED7B475682C5EB796B0BB791C34ECB570941A7E883ABEBC6C60CB2159C |
|
CONTENT
ssdeep
|
192:QAnbzH715lUqwyIMqSW0IM/2FIM37gIMA2JyIMrP1:Q6bmqw/MqS+M/9M37tMA2J/MrP1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ecec13931b8c9393 |
|
VISUAL
aHash
|
fff3f3f3ffffff00 |
|
VISUAL
dHash
|
2627272727000620 |
|
VISUAL
wHash
|
fbc1f191f3ff0000 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
0627272727060c04,dcf0b3dce8e9dcff,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 61 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)