Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T178C33C60B614F92745BB02C7B0A70142A2B9531AE44E4E90B268DFE937FDC7EE1339D5 |
|
CONTENT
ssdeep
|
1536:gysIxcwPY8JDl7Qbz018W5/Nhh8z/dbFXRjaPndp7Ddqr:gyIwPY2Dl7QbsJmz/pFdEBQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
aa8d557455456d4d |
|
VISUAL
aHash
|
030f0f0707070507 |
|
VISUAL
dHash
|
b67f7befafbf7d7d |
|
VISUAL
wHash
|
021f1f3f0f0f0f07 |
|
VISUAL
colorHash
|
32007000000 |
|
VISUAL
cropResistant
|
3f7fe7f7bbb3bb3f,1dcec7437998ce73,19cce2b9aceb398e,b67f7befafbf7d7d |
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 81 techniques to evade detection by security scanners and make reverse engineering more difficult.