Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19252D925B84D572F6447A1DF6269234F61C2A7A8DAF74A20F3F5178C56CEE8CB90D043 |
|
CONTENT
ssdeep
|
192:ZQSkc8scDyddSdwYPEyJ46yuHl2Px0Wc0x0Eb0mSc0NG0OpPSc0C:GSkc8gHAPujuF2PrVK7mSVNrlVC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc69c392d369c196 |
|
VISUAL
aHash
|
c3818181ffffffff |
|
VISUAL
dHash
|
2b2333332c30330b |
|
VISUAL
wHash
|
818181819fff81ff |
|
VISUAL
colorHash
|
06000200030 |
|
VISUAL
cropResistant
|
2b2333332c30330b,9a9adc535b989a9a,611e706933b20e33 |
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 1 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)