Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T189043BFC23605EDD00CB83F5FF2562E8B68AE66ECA524E46D2FC871925C1CBC9D19581 |
|
CONTENT
ssdeep
|
1536:bNbuxtEN+9hp03IwNNFQDkxhG0Ub5I8SzGVuNyF1bxVVQreOGpIJd4/pFC5I8SzD:PuIFDki4WOqdVc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93c9692796ccc6cc |
|
VISUAL
aHash
|
00007e7e7e660000 |
|
VISUAL
dHash
|
491fccdccccc13cc |
|
VISUAL
wHash
|
20027f7f7f7f0000 |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
491fccdccccc13cc,33332d0d6c6cac90,4521416969610145,4141314d4d214101 |
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.