Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16EC1ABF4D018D92A60878AE4E7652B2F33AA865A9903535087FC875D6FD3C58CE231B6 |
|
CONTENT
ssdeep
|
48:TCYUfoOLwN4orcYsMKfTI4or+NI4or+QI4orl488877o/Hb2/:TCvf9e8Ys1fke+epF4888fSHb8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3963c62e3bc2d2c |
|
VISUAL
aHash
|
0f0e2e6e64600000 |
|
VISUAL
dHash
|
4c38d8ccccc238c0 |
|
VISUAL
wHash
|
ef7e7e7e66600000 |
|
VISUAL
colorHash
|
07e00000000 |
|
VISUAL
cropResistant
|
808084aabab200a0,e884a60242a6c4f8,78e0d0a4e0a4c0e1,e1c0a4e2a4d0e270,f08c2242822284e0,e086238041038ef0,86aa8e8e9ec09696,f1b8e4d2e0d2e078,78e0d2f0d2e4f8e1,c09692808092dee0,4c38d8ccccc238c0 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)