Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T138A3EF23421975274437C2C0347A5B3BD1A6994FFEE70E011EDCCBFAAAF9CA0746A519 |
|
CONTENT
ssdeep
|
1536:uYbztpR4nXBKpSpFl26vq2Z1gOCw+UIcX:tUMf9Onkc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9212ed6d399313ce |
|
VISUAL
aHash
|
00000c0c0000ffff |
|
VISUAL
dHash
|
176c695974b02426 |
|
VISUAL
wHash
|
00343c3c1e08ffff |
|
VISUAL
colorHash
|
32006000080 |
|
VISUAL
cropResistant
|
020080e060600042,0200006060600042,020000e060600042,820080c0a0800082,20d8242696661616,0b046d49597876b1 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.