Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C293E8B522C2663F1043C3F1E314A53EA3C69649DB33CD82E7F8872799D9CE89D64499 |
|
CONTENT
ssdeep
|
768:r8uW5KOC6+x6WtO21Q6BFK6+OSyC93TuW5KOC6+x6WtO21Q6BFK6+OSyC93Nrtp6:Mrtp0Ig5D0EQ3UbKCOawwl06Og |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ec7c3d81ccc18 |
|
VISUAL
aHash
|
ff879f9fdfffffff |
|
VISUAL
dHash
|
432e3c34b0d43403 |
|
VISUAL
wHash
|
00001e1e5e1edfff |
|
VISUAL
colorHash
|
07180000200 |
|
VISUAL
cropResistant
|
432e3c34b0d43403,5a9989cbcd4d45e5 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)