Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T105043AFC23215EDD05C683F5FF2462E8A7CAE16ECA524E45D2FC872921D1CBC9E1A581 |
|
CONTENT
ssdeep
|
1536:CEiu70jNqhhm03I0NNF8DkxhZ0Ub5I8SzGVuNyF1bVVVcreOSp8Jd4/pFW5I8Sza:0u7tAk+cWbB9Vd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
929c693696cdc78c |
|
VISUAL
aHash
|
00007e7e7e660000 |
|
VISUAL
dHash
|
7317ccdccccc13cc |
|
VISUAL
wHash
|
10027f7f7f7f0000 |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
7317ccdccccc13cc,52527a3a713ab280,4521416969610145,01514d4d4d314941 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)