Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18463B77512426A3F158382E1831DE319E3C6DB09C7AB5986E7EC839F27C7DA0DD39164 |
|
CONTENT
ssdeep
|
1536:U0n0VaeelOy4irPo9ELcJAm4asSRriKDDjaKgY9F7rtXSSk1Pn9xsdM8DDhxYANk:4U6mUi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2506cbe96d696b4 |
|
VISUAL
aHash
|
00003c7e7efff1ff |
|
VISUAL
dHash
|
8493ccd8cccc23cc |
|
VISUAL
wHash
|
00003c7e7eff81e7 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
ccc8d4cccc234c4c,8c83f393c0c8dcd4,4555457969610541,00454d7171554541,e232b21489cec6d6 |
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)