Forensia CTI Core

Summary

Ingested excerpt (first ~500 chars of normalized text).

Granite Embedding Multilingual R2: Open Apache 2.0 Multilingual Embeddings with 32K Context — Best Sub-100M Retrieval Quality Granite Embedding Multilingual R2: Open Apache 2.0 Multilingual Embeddings with 32K Context — Best Sub-100M Retrieval Quality Hugging Face Models Datasets Spaces Buckets new Docs Enterprise Pricing Website Tasks HuggingChat Collections Languages Organizations Community Blog Posts Daily Papers Learn Discord Forum GitHub Solutions Team & Enterprise …

https://huggingface.co/blog/ibm-granite/granite-embedding-multilingual-r2

sha256:bba05ac8f06b412ae9ea92b45894b8732b2deff809c31a2aa160afa71ebdb2aa

What we pulled out

Deterministic extractor (IOC + allowlisted tokens + ATT&CK IDs present in DB).

cve0
md50
url0
ipv40
ipv60
sha10
domain14
sha2560
malware_token0
attack_pattern0
threat_actor_token0

Indicators

Linked with report → mentions → indicator. Values open the indicator workspace.

Type	Value	Link
domain	llama.cpp	Open →
domain	model.encode	Open →
domain	full.shape	Open →
domain	small.shape	Open →
domain	embeddings.huggingface	Open →
domain	haystack.components.embedders	Open →
domain

Malware families

Allowlist token matches only.

None extracted.

Threat actors mentioned

Allowlist mentions — not a formal attribution verdict.

None extracted.

ATT&CK techniques

MITRE IDs referenced in text and present in local technique table.

None linked (import ATT&CK or adjust text).

CONTINUE INVESTIGATION

High-signal pivots without leaving the thread you started in search.

All reports
Browse the report corpus.
Intel graph (first IOC)
Neighborhood from the first linked indicator.

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