Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A1421336705C1158255778E2E0F532A6BB2B167E7E8708E07476CA1EC2EC3AFF071A65 |
|
CONTENT
ssdeep
|
384:FxESJODJns08DE0cecehbEFFVGChNDD4M9saLG:FxESJODJs08DE0cecehbEF/GwNDDbCay |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b969c7969492c34e |
|
VISUAL
aHash
|
fb81818f8fcfffff |
|
VISUAL
dHash
|
1223333f3b1b170c |
|
VISUAL
wHash
|
c181818383cfdfe7 |
|
VISUAL
colorHash
|
07000200c00 |
|
VISUAL
cropResistant
|
1223333f3b1b170c,0878717169093608 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)