Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11133727212862A2F014342E5A718B72BD3C9CB09CBBB9E57B7ECC36753CADA09D35154 |
|
CONTENT
ssdeep
|
1536:dQfMc4fMgOACR0DCp2j+T8K41goNm/3+xEFw8JWqFArG6uL3Z8r6en7LI4wxY5dS:DpyeaWEo6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
961c6d63c3c1d39c |
|
VISUAL
aHash
|
00003e7e7e7e0000 |
|
VISUAL
dHash
|
cb277cdccccc334c |
|
VISUAL
wHash
|
00007e7e7e7e81e7 |
|
VISUAL
colorHash
|
07086000000 |
|
VISUAL
cropResistant
|
e2ee8cae98b68c8c,010084304c4d300a,db2e34ccd4cccc33,9617972114b6ca6a,452549d5e5710145 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)