Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BF235B726332B86843DB91DDF7392A45B2D2588AF8CB4554F5C95ACD23C3C806297BB4 |
|
CONTENT
ssdeep
|
768:ah+EsZx8/G8D446DatLMmBUotTMmBUk7Ucix+y9dQpUDF1E56ITmHDLBABW8KPqT:ah+EsZ/8Dr6DatLMmB1tTMmBL7UXx+yI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb91e56ce49195c4 |
|
VISUAL
aHash
|
818d8d8d81818181 |
|
VISUAL
dHash
|
595d5d5941514951 |
|
VISUAL
wHash
|
ffafaf8d81818181 |
|
VISUAL
colorHash
|
3ae00400000 |
|
VISUAL
cropResistant
|
595d5d5941514951,343038383cbc9c99,fef9f1e1f1f2e4e1,d8d8dad8c098c888 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)