Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T160043AFC13209ED9048683F5FF2567E8A68BE26ECB574E46D2FC871825C1CBC8E19591 |
|
CONTENT
ssdeep
|
1536:PSHuE6RNZyhH03IFNNFXDkxhY0Ub5I8SzGVuNyF1biVVTreORpNJd4/pF15I8SzG:beObdkDXWMcZVA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92c9693796ccc6cc |
|
VISUAL
aHash
|
00007e7e7e660000 |
|
VISUAL
dHash
|
491fccdccccc13cc |
|
VISUAL
wHash
|
00007f7f7f7f0000 |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
491fccdccccc13cc,266658185a59dda5,4521416969610145,4141314d4d214101 |
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.