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Apache Syncope Vulnerabilities Allow Attackers to Execute Malicious Code and Bypass Controls

Apache Syncope fixed three flaws enabling SQL injection, Groovy sandbox escape, and JWT token theft to impersonate higher-privileged users.

Apache Syncope, an open-source identity management and access governance platform, disclosed CVE-2026-82232, a stacked-query SQL injection in the Task search sort parameter; CVE-2026-77147, a Groovy sandbox escape via malicious Command classes; and CVE-2026-73178, retrieval of signed JWT access tokens via REST enabling impersonation of more privileged users. All three flaws require administrator-level entitlements to exploit and affect Syncope 3.0, 4.0, and 4.1 releases. Fixes shipped in versions 4.0.8 and 4.1.3, with researchers Alon Galili and n0mi1k credited.

Cyber Security News · 9h agoVulnerability 3 sourcesCVE-2026-82232CVE-2026-77147CVE-2026-73178

Apache Superset SQL Injection Flaw Gets Public PoC Exploit

A public Python proof-of-concept exploit was released for CVE-2026-23980, an authenticated error-based SQL injection flaw in Apache Superset before 6.0.0.

A public proof-of-concept exploit repository now targets CVE-2026-23980, an error-based SQL injection affecting Apache Superset versions from 0.0.0 up to but not including 6.0.0. An authenticated user with read access can inject SQL through the sqlExpression or where parameters, potentially reaching business, customer, and security data depending on database configuration and privileges. Apache disclosed the flaw in February and urges upgrading to Superset 6.0.0; compensating controls include least-privilege database accounts, network restrictions, and log monitoring.

GBHackers · 13h agoExploit / PoC 2 sourcesCVE-2026-23980

CVE-2026-76646: Apache MyFaces: Denial of Service via Unbounded Request Parsing

Apache MyFaces fixes critical CVE-2026-76646, a remote denial-of-service flaw triggered by crafted request parameters across versions 2.2.0-4.1.3.

Apache MyFaces disclosed CVE-2026-76646, a critical denial-of-service vulnerability in which remote attackers can cause excessive resource consumption by supplying specially crafted request parameters. Affected versions span 2.2.0-2.2.15, 2.3.0-2.3.11, 3.0.0-3.0.3, 4.0.0-4.0.3, 4.1.0-4.1.3 and 2.3-next-*. The disclosure notes older versions may also be impacted.

oss-security · 7h agoVulnerability 2 sourcesCVE-2026-76646

CVE-2026-87976: Apache NiFi Registry: Improper Limitation of Pathname in Persisted Extension Bundles

Apache NiFi Registry 0.4.0-2.11.0 allows path manipulation when storing extension bundle content from uploaded NAR manifests (CVE-2026-87976, High).

Apache NiFi Registry versions 0.4.0 through 2.11.0 are affected by improper limitation of a pathname (CVE-2026-87976), rated High severity by the maintainers. When storing extension bundle content, the default file persistence provider used group, artifact, and version coordinates from uploaded NAR manifests as filesystem path components without sufficient validation. The disclosure was posted by Apache NiFi maintainer David Handermann on the oss-security mailing list.

oss-security · 7h agoVulnerabilityCVE-2026-87976

CVE-2026-82561: Apache NiFi: Missing Authorization for Components Referenced in Flow Update Methods

Apache NiFi 1.5.0-2.11.0 flow update REST methods lack authorization checks for referenced components, permitting unauthorized Process Group flow replacement (CVE-2026-82561).

Apache NiFi 1.5.0 through 2.11.0 expose REST API methods that replace the entire contents of a Process Group with a client-supplied flow definition, including versioned flow update and rebase operations. Framework authorization for these methods was limited to read and write privileges on the target Process Group, without checking components referenced in the flow (CVE-2026-82561). No severity rating was provided in the disclosure; the affected version range is broad.

oss-security · 7h agoVulnerability 3 sourcesCVE-2026-82561

CVE-2026-70469: Apache NiFi: Improper Handling of Case Sensitivity for Content-Encoding in HTTP Requests

Apache NiFi CVE-2026-70469: duplicate or non-standard Content-Encoding headers bypass gzip request filtering in NiFi 2.11.0's REST API.

Apache NiFi disclosed CVE-2026-70469, rated High, affecting the Jetty-based REST API module (org.apache.nifi:nifi-jetty) in version 2.11.0. NiFi 2.11.0 disabled gzip-encoded HTTP requests and rejects those carrying the standard Content-Encoding header, but the framework enforcement filter fails to check multiple instances of the header and does not reject non-standard gzip identifiers, allowing crafted requests to evade the check. The disclosure was posted to oss-security by David Handermann.

oss-security · 7h agoVulnerabilityCVE-2026-70469

Knowledgator Releases GLiFormer: A 575M-Parameter Encoder That Hits 91.10 F1 on Nested JSON Extraction Without Generating Tokens

Knowledgator released GLiFormer, an Apache-2.0 encoder (264M/575M) handling NER, classification, relations, and nested JSON extraction, scoring 91.10 F1.

Knowledgator Engineering released GLiFormer, a schema-conditioned encoder that performs NER, classification, relation extraction, nested JSON structuring, and embeddings without generating output tokens. GLiFormer Large v1 has 575.6M parameters and scores 91.10 F1 on nested JSON extraction, close to GPT-5.6-luna's 91.96; both checkpoints are Apache 2.0 on Hugging Face. Reported median latency is 69 ms on GPU for the base model, though relation extraction (21.33 micro-F1) still trails GLiNER-Relex and larger LLMs.

MarkTechPost · 1h agoModel release

Nums AI Releases Causilo: A Tabular Foundation Model That Tops TabArena Among Single Models

Nums AI released Causilo, an Apache-2.0 tabular foundation model achieving the highest single-model Elo (1794) on TabArena for classification and regression.

Nums AI released Causilo 1.0.1, a pretrained in-context learning tabular foundation model for classification (up to 10 classes) and regression, with Apache-2.0 code and research-only weights on Hugging Face. It achieved the highest single-model TabArena Elo of 1792.9 overall, beating TabFM (1764.4) and EXAONE Tabular (1758.8), and a maintainer re-run placed it 3rd of 88 including system entries. It also ranked first by CRPS, R² and RMSE on ScoringBench across 101 datasets, and was fastest on fit and predict versus TabICLv2 and TabPFN-3 on an H100 GPU at 8.15 GiB memory. The model was pretrained only on synthetic data, uses cross-attention to keep cost linear in feature count, and version 1.0.1 adds quantile outputs via 999 native quantiles.

MarkTechPost · 17h agoModel release

Fake CAPTCHA Scams

Bruce Schneier examines fake CAPTCHA scams that abuse human-verification prompts as social engineering lures against users.

Bruce Schneier's blog post covers fake CAPTCHA scams, a social engineering technique in which attackers pose as CAPTCHA verification checks to manipulate users. The available page text is largely site navigation, and no specific campaign, victim, or malware family is named in the source.

Schneier on Security · 11h agoPhishing & fraud