Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E8831030A055AA2B40DFB5D6E176471963F2D30ECB130AE9F6F483BA4BCED68D923145 |
|
CONTENT
ssdeep
|
768:Ppg6Uf7sbs2R/jT8HidVwvhNdo51OeQWXSHS+JnLWwPH:k7sbs2R/6inwvhNa+eQNSgn6QH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8305f232cf4de3c3 |
|
VISUAL
aHash
|
000020180000ffff |
|
VISUAL
dHash
|
cadad0f3c99953c3 |
|
VISUAL
wHash
|
6f0b38382000ffff |
|
VISUAL
colorHash
|
19002010080 |
|
VISUAL
cropResistant
|
4bcbebd0c1400000,ca9ad0d1f3c99939 |
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 30 techniques to evade detection by security scanners and make reverse engineering more difficult.