Forensia CTI Core

Summary

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

PaddleOCR 3.5: Running OCR and Document Parsing Tasks with a Transformers Backend PaddleOCR 3.5: Running OCR and Document Parsing Tasks with a Transformers Backend 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 Hugging Face PRO Enterprise Support Inference Providers Inference Endpoints Storage Buck…

https://huggingface.co/blog/PaddlePaddle/paddleocr-transformers

sha256:3c6e24ab21430f4d5d8075fa84d2c15566a0d7cf13bb2a59c3d7415bf860597a

What we pulled out

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

cve0
md50
url7
ipv40
ipv60
sha10
domain6
sha2560
malware_token0
attack_pattern0
threat_actor_token0

Indicators

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

Type	Value	Link
domain	github.com	Open →
domain	huggingface.co	Open →
domain	download.pytorch.org	Open →
domain	paddle-model-ecology.bj.bcebos.com	Open →
domain	pipeline.predict	Open →
domain	www.paddleocr.ai	Open →
url

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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