Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11C323033A600CD2A4AAB56CCF6C09648555EC345FA3108CB71A491FFBBC4DF069A679D |
|
CONTENT
ssdeep
|
192:sdZAzYc9cychIBpo0sxjMcnthWeNWb/fMmUU8VCoc:Kc9cychIBpVfMmUFCoc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99cc663399cc9933 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
304cb2b2b2b20c30 |
|
VISUAL
wHash
|
00003c3cfcfcfcfc |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
bab8e2b2eab23082,304cb2b2b2b20c30 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)