Forensia CTI Core

Summary

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

QIMMA قِمّة ⛰: A Quality-First Arabic LLM Leaderboard QIMMA قِمّة ⛰: A Quality-First Arabic LLM Leaderboard Hugging Face Models Datasets Spaces Buckets new Docs Enterprise Pricing Log In Sign Up Back to Articles QIMMA قِمّة ⛰: A Quality-First Arabic LLM Leaderboard Community Article Published April 21, 2026 Upvote 12 +6 Leen AlQadi LeenAlQadi Follow tiiuae Ahmed Alzubaidi amztheory Follow tiiuae Mohammed Alyafeai Alyafeai Follow tiiuae Maitha Alhammadi MaithaAlhammadi Follow…

https://huggingface.co/blog/tiiuae/qimma-arabic-leaderboard

sha256:2353faa9c3e3225d174649fff2337b99d7b56ce055cf138e580c37c475481077

What we pulled out

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

cve0
md50
url1
ipv40
ipv60
sha10
domain2
sha2560
malware_token0
attack_pattern0
threat_actor_token0

Indicators

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

Type	Value	Link
domain	arxiv.org	Open →
domain	cs.cl	Open →
url	https://arxiv.org/abs/2604.03395	Open →

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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