Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A6154733421935260537C6D430A95B3BD2A6DE5FFAE70A010EECD7F72BE9CA0745A11A |
|
CONTENT
ssdeep
|
3072:bkIqFLTUJ6d5yMDfu2xXGykqJdCT3ae+JrGMAqcBq9lOs:b8L55j |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9252ed2dd63823d6 |
|
VISUAL
aHash
|
ff0404042003ffff |
|
VISUAL
dHash
|
c3ccccccedc39b04 |
|
VISUAL
wHash
|
ff000e042403ffff |
|
VISUAL
colorHash
|
32003200080 |
|
VISUAL
cropResistant
|
0000906763600100,9696e081c0715184,b43031585a1430b4,c036365fc74e4ea0,e34bdbdb2b004c04,34c8c9c920a9a956,dcccccdccce3cbdb |
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 28 techniques to evade detection by security scanners and make reverse engineering more difficult.