Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1999319B61381667F104382F1D318E62EE785DA89DB638D42E3E8C327E5D9CE8CD34995 |
|
CONTENT
ssdeep
|
768:9mKrElkwkkgXkYzcE/Qk/jIYcIwsQ3nPKrElkwkkgXkYzcE/Qk/jIYcIwsQ3nMBG:RZ9B+08RfrZ8j02tYJsLncoSRQq7Y0p |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc1ce7c3b0989eb0 |
|
VISUAL
aHash
|
eb839f9fdfffffff |
|
VISUAL
dHash
|
4b2b3431b4f50e8e |
|
VISUAL
wHash
|
00001e1e5e9effe7 |
|
VISUAL
colorHash
|
07180000200 |
|
VISUAL
cropResistant
|
4b2b3431b4f50e8e,5a9989cbcd4d45e5 |
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.