Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B1235B72A332B86843DB91DEF7382956B2D6589DF8C74414F1C95A8E23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:aX+EsZx8/G8g40Dat7M7B6tNM7Bq7Ucix+y9dQpUDF1E56ITmHDLBABW8KPqDvts:aX+EsZ/8D0Dat7M7B6tNM7Bq7UXx+y9T |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3a6a6a6a0e2f20 |
|
VISUAL
aHash
|
008fbfbfffffffff |
|
VISUAL
dHash
|
4d197b610d4b114d |
|
VISUAL
wHash
|
008f8bbfc181ff83 |
|
VISUAL
colorHash
|
070020001c0 |
|
VISUAL
cropResistant
|
4d197b610d4b114d,0082699696894200 |
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.