Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T168613261C119AC735213E1E46BA46B8B3287C2068BC7254917F083BD39F3C59DF66329 |
|
CONTENT
ssdeep
|
48:+2JhhzJzjed9efNTtVI9a26YXAPy9uiTyXHZk/XHZd87ILMu8ynBLP5ut16:DLziafNJbBy9uimpWpdgYMu8SFxu6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83f67f09090999fc |
|
VISUAL
aHash
|
3f3f3f3f3f3f3f3f |
|
VISUAL
dHash
|
d0ccccdad0d0d0d0 |
|
VISUAL
wHash
|
3f273f3f3f000000 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
a09c9892a0808080,f184acb6b6ac84f3,0e71710e20000000 |
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 15239 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)