Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16D738932D357181390BBD2D9B171474922528B89C7134FB567FD23BAFACECB52623298 |
|
CONTENT
ssdeep
|
1536:gFO087rg7eeee1eeIaqHefe0efepefeGeAH7Zee+efefeTeteJHewNQQF8RJNpGO:7bX+yE3J8JblPJvJtJnyWAmTnmkCg+Xr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cb0e3e31cd929633 |
|
VISUAL
aHash
|
8181bcfde9e9c9e9 |
|
VISUAL
dHash
|
692765515b5b5953 |
|
VISUAL
wHash
|
8180bdf9c8e9cde8 |
|
VISUAL
colorHash
|
02000030000 |
|
VISUAL
cropResistant
|
692765515b5b5953,60f0c960cde96a4a,000c1e18bc8b4ba3,606066e6641c2cb0,72331d20260f6360,9080a09080808080,d7693248cccc446c,a0a020a0a0a0a0a0,305270301050a0c4,97c46931f1e1a0ac,c0f486c6b2a2a2a2,2020202020202000 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.