Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18E126023E600DD2A8EAB568CF6C09589451DC349FB314CC6B1A490FF7BD4DF1A8A939D |
|
CONTENT
ssdeep
|
192:vBkbB4dD7IyTxJOxXMcnthWeNWbnfMmUU8VCoG:JxPIufMmUFCoG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9a1b6524e165de1b |
|
VISUAL
aHash
|
00183c3c3c3c00ff |
|
VISUAL
dHash
|
8e6961f97169de68 |
|
VISUAL
wHash
|
013d3c7c7c3c00ff |
|
VISUAL
colorHash
|
3a0060000c0 |
|
VISUAL
cropResistant
|
d0588080d0d000c0,0000000000000000,96696169f961699e |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.