Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14AE10CF1D000ED3B435386D9A7BA6B4B7791C34ACB470A4593F883AB6BCAC60CB15589 |
|
CONTENT
ssdeep
|
192:QPnbzD715lt8iIGdYMvaGcIXvExzSWYMtEdw:QXnf1ZeMvaGFv9fMtEdw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b34c4ce6664c99 |
|
VISUAL
aHash
|
ffffffffff000000 |
|
VISUAL
dHash
|
08080c0c00080000 |
|
VISUAL
wHash
|
e7e7e7e7ff000000 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
000808100c0c0008,0000000000000000 |
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 57 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)