| Commit message (Collapse) | Author | Age |
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Last step of removing JA3C fingerprint
Remove some duplicate tests: testing with ja4c/ja3s disabled is already
performed by `disable_metadata_and_flowrisks` configuration.
Close:#2551
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Add a new variable to keep track of internal partial classification
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Even if it is only the proposed value by the client (and not the
negotiated one), it might be use as hint for timeout by the (external)
flows manager
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ESNI has been superseded by ECH for years, now.
See: https://blog.cloudflare.com/encrypted-client-hello/
Set the existing flow risk if we still found this extension.
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In the same flow, we can have multiple multimedia types
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(#2618)
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* fixes SonarCloud complaint
Signed-off-by: Toni Uhlig <matzeton@googlemail.com>
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Adde basidc OS detection based on TCP fingerprint
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Build fix
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Allow nDPI to process the entire flows and not only the first N packets.
Usefull when the application is interested in some metadata spanning the
entire life of the session.
As initial step, only STUN flows can be put in monitoring.
See `doc/monitoring.md` for further details.
This feature is disabled by default.
Close #2583
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as follows:
ndpiReader --cfg=dpi.address_cache_size,1000 -i <pcap>.pcap
In the above example the cache has up to 1000 entries.
In jcase ndpiReader exports data in JSON, the cache hostname (if found) is exported in the field server_hostname
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Changed the default to IPv4 (used to be IPv6) in case of DNS error response
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wireshark, lua: add basic analysis of possible obfuscated flows
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Based on the paper: "Fingerprinting Obfuscated Proxy Traffic with
Encapsulated TLS Handshakes".
See: https://www.usenix.org/conference/usenixsecurity24/presentation/xue-fingerprinting
Basic idea:
* the packets/bytes distribution of a TLS handshake is quite unique
* this fingerprint is still detectable if the handshake is
encrypted/proxied/obfuscated
All heuristics are disabled by default.
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Based on the paper: "OpenVPN is Open to VPN Fingerprinting"
See: https://www.usenix.org/conference/usenixsecurity22/presentation/xue-diwen
Basic idea:
* the distribution of the first byte of the messages (i.e. the distribution
of the op-codes) is quite unique
* this fingerprint might be still detectable even if the OpenVPN packets are
somehow fully encrypted/obfuscated
The heuristic is disabled by default.
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Exported it with -E
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* Extended API with functions for vector similarity based on KD-trees https://en.wikipedia.org/wiki/K-d_tree
ndpi_kd_tree* ndpi_kd_create(u_int num_dimensions);
void ndpi_kd_free(ndpi_kd_tree *tree);
void ndpi_kd_clear(ndpi_kd_tree *tree);
bool ndpi_kd_insert(ndpi_kd_tree *tree, const double *data_vector, void *user_data);
ndpi_kd_tree_result *ndpi_kd_nearest(ndpi_kd_tree *tree, const double *data_vector);
u_int32_t ndpi_kd_num_results(ndpi_kd_tree_result *res);
bool ndpi_kd_result_end(ndpi_kd_tree_result *res);
double* ndpi_kd_result_get_item(ndpi_kd_tree_result *res, double **user_data);
bool ndpi_kd_result_next(ndpi_kd_tree_result *res);
void ndpi_kd_result_free(ndpi_kd_tree_result *res);
double ndpi_kd_distance(double *a1, double *b2, u_int num_dimensions);
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Example:
./example/ndpiReader -i tests/pcap/safari.pcap --cfg=tls,metadata.ja4r_fingerprint,1
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Keep track if we received CH or/and SH messsages: usefull with
unidirectional flows
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If the flow is classified (via DPI) after the first packet, we should
use this information as FPC
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Use DNS information to get a better First Packet Classification.
See: #2322
---------
Co-authored-by: Nardi Ivan <nardi.ivan@gmail.com>
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Let's start with some basic helpers and with FPC based on flow addresses.
See: #2322
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