Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T183F2D631736504AEA1CBC6B8FFE3A7AC916FD29AD637481CF3EC4595A7C2C58D919200 |
|
CONTENT
ssdeep
|
384:t6qf4SUaHACzs8A88ZdsN868j0mKZLRsrdM/+ssufZd8ilUnLlb97D8qB2w+H3QD:tRf4SU7eo0FN5QLlpD8qEw63Qsbsx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8e9e31e124bc13d7 |
|
VISUAL
aHash
|
033f3f1b3f7ffa00 |
|
VISUAL
dHash
|
9e7971b3e1e98200 |
|
VISUAL
wHash
|
033f3f1f3c7cf000 |
|
VISUAL
colorHash
|
100000000d0 |
|
VISUAL
cropResistant
|
9e7971b3e1e98200 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.