Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B7231EB24142193B9793D1C5BB29274EF2C7930BCA524E42BBF2875BDFC2DA4ED25121 |
|
CONTENT
ssdeep
|
768:hCNrzGNt9Zs+GPTnZwbbQNKhrp+ohCyoxaSrE0X1Xmh2fld1ClthJu/fi0n+ml2M:bsll5XXou6sXSZX6iMxF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a437db2ac51b415e |
|
VISUAL
aHash
|
ff07020303030fff |
|
VISUAL
dHash
|
86befef6e7ffbf80 |
|
VISUAL
wHash
|
ff07060703030fff |
|
VISUAL
colorHash
|
07c00000240 |
|
VISUAL
cropResistant
|
9efefee6e7ffbd80,d94422d6d5a73352,1088d0e22209a080,cf7f737b735bdfbf,0010001010101000 |
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 136 techniques to evade detection by security scanners and make reverse engineering more difficult.