[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"cve-CVE-2021-29608":3,"landing-articles":62},{"id":4,"cve_id":5,"euvd_id":6,"summary":7,"published":8,"cvss_data":9,"is_remote":20,"cwes":21,"cpes":23,"technologies":28,"references":33,"score":43,"epss_score":44,"epss_percentile":45,"is_kev":20,"cisa_kev_date_added":46,"cisa_kev_due_date":46,"cisa_ssvc":47,"attack_mappings":53,"exploits":60},282780,"CVE-2021-29608","EUVD-2021-0349","Heap OOB and null pointer dereference in `RaggedTensorToTensor`\n\n### Impact\nDue to lack of validation in `tf.raw_ops.RaggedTensorToTensor`, an attacker can exploit an undefined behavior if input arguments are empty:\n\n```python\nimport tensorflow as tf\n\nshape = tf.constant([-1, -1], shape=[2], dtype=tf.int64)\nvalues = tf.constant([], shape=[0], dtype=tf.int64)\ndefault_value = tf.constant(404, dtype=tf.int64)\nrow = tf.constant([269, 404, 0, 0, 0, 0, 0], shape=[7], dtype=tf.int64)\nrows = [row]\ntypes = ['ROW_SPLITS']\n\ntf.raw_ops.RaggedTensorToTensor(\n  shape=shape, values=values, default_value=default_value, \n  row_partition_tensors=rows, row_partition_types=types)\n```\n\nThe [implementation](https:\u002F\u002Fgithub.com\u002Ftensorflow\u002Ftensorflow\u002Fblob\u002F656e7673b14acd7835dc778867f84916c6d1cac2\u002Ftensorflow\u002Fcore\u002Fkernels\u002Fragged_tensor_to_tensor_op.cc#L356-L360) only checks that one of the tensors is not empty, but does not check for the other ones.\n\nThere are multiple `DCHECK` validations to prevent heap OOB, but these are no-op in release builds, hence they don't prevent anything.\n\n### Patches\nWe have patched the issue in GitHub commit [b761c9b652af2107cfbc33efd19be0ce41daa33e](https:\u002F\u002Fgithub.com\u002Ftensorflow\u002Ftensorflow\u002Fcommit\u002Fb761c9b652af2107cfbc33efd19be0ce41daa33e) followed by GitHub commit [f94ef358bb3e91d517446454edff6535bcfe8e4a](https:\u002F\u002Fgithub.com\u002Ftensorflow\u002Ftensorflow\u002Fcommit\u002Ff94ef358bb3e91d517446454edff6535bcfe8e4a) and GitHub commit [c4d7afb6a5986b04505aca4466ae1951686c80f6](https:\u002F\u002Fgithub.com\u002Ftensorflow\u002Ftensorflow\u002Fcommit\u002Fc4d7afb6a5986b04505aca4466ae1951686c80f6).\n\nThe fix will be included in TensorFlow 2.5.0. We will also cherrypick these commits on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.\n\n### For more information\nPlease consult [our security guide](https:\u002F\u002Fgithub.com\u002Ftensorflow\u002Ftensorflow\u002Fblob\u002Fmaster\u002FSECURITY.md) for more information regarding the security model and how to contact us with issues and questions.\n\n### Attribution\nThis vulnerability has been reported by Yakun Zhang and Ying Wang of Baidu X-Team.","2021-05-21T14:28:00Z",{"cvss_v3.1":10},{"scope":11,"version":12,"baseScore":13,"attackVector":14,"baseSeverity":15,"vectorString":16,"integrityImpact":17,"userInteraction":18,"attackComplexity":19,"availabilityImpact":19,"privilegesRequired":17,"confidentialityImpact":18},"UNCHANGED","3.1",5.3,"LOCAL","MEDIUM","CVSS:3.1\u002FAV:L\u002FAC:H\u002FPR:L\u002FUI:N\u002FS:U\u002FC:N\u002FI:L\u002FA:H","LOW","NONE","HIGH",false,[22],"CWE-131",[24,25,26,27],"cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*","cpe:2.3:a:tensorflow-cpu:tensorflow-cpu:*:*:*:*:*:*:*:*","cpe:2.3:a:tensorflow:tensorflow:*:*:*:*:*:*:*:*","cpe:2.3:a:tensorflow-gpu:tensorflow-gpu:*:*:*:*:*:*:*:*",[29,30,31,32],"Google Tensorflow","Tensorflow-Gpu Tensorflow-Gpu","Tensorflow Tensorflow","Tensorflow-Cpu Tensorflow-Cpu",[34,35,36,37,38,39,40,41,42],"https:\u002F\u002Fgithub.com\u002Ftensorflow\u002Ftensorflow\u002Fcommit\u002Fb761c9b652af2107cfbc33efd19be0ce41daa33e","https:\u002F\u002Fgithub.com\u002Ftensorflow\u002Ftensorflow\u002Fcommit\u002Fc4d7afb6a5986b04505aca4466ae1951686c80f6","https:\u002F\u002Fgithub.com\u002Ftensorflow\u002Ftensorflow\u002Fcommit\u002Ff94ef358bb3e91d517446454edff6535bcfe8e4a","https:\u002F\u002Fgithub.com\u002Ftensorflow\u002Ftensorflow\u002Fsecurity\u002Fadvisories\u002FGHSA-rgvq-pcvf-hx75","https:\u002F\u002Fnvd.nist.gov\u002Fvuln\u002Fdetail\u002FCVE-2021-29608","https:\u002F\u002Fgithub.com\u002Fpypa\u002Fadvisory-database\u002Ftree\u002Fmain\u002Fvulns\u002Ftensorflow-cpu\u002FPYSEC-2021-536.yaml","https:\u002F\u002Fgithub.com\u002Fpypa\u002Fadvisory-database\u002Ftree\u002Fmain\u002Fvulns\u002Ftensorflow-gpu\u002FPYSEC-2021-734.yaml","https:\u002F\u002Fgithub.com\u002Fpypa\u002Fadvisory-database\u002Ftree\u002Fmain\u002Fvulns\u002Ftensorflow\u002FPYSEC-2021-245.yaml","https:\u002F\u002Fgithub.com\u002Ftensorflow\u002Ftensorflow",0.42,0.00234,0.14115,null,{"timestamp":46,"automatable":48,"tech_impact":49,"exploitation":50,"cisa_decision":51,"cisa_remediation_timeline":52},"no","partial","none",{},"FSU",[54],{"name":55,"source":56,"tactics":57,"technique_id":59},"Exploitation for Privilege Escalation","attack_vector",[58],"privilege-escalation","T1068",[61],{"link":37},{"count":63,"next":64,"previous":46,"results":65},30,"http:\u002F\u002Fweb:8606\u002Fapi\u002Farticles\u002F?page=2&sorted_by=-published_at",[66,73,81,89,96,103,110,115,122,129],{"id":63,"title":67,"summary":68,"published_at":69,"type":70,"link":71,"image_url":72},"PHP2Shell: Two Critical RCE Flaws in PHP (CVSS 9.2)","Unauthenticated code execution demonstrated on WordPress, Drupal and Joomla, and reproduced in our lab. Patched versions and steps to take today.","2026-10-22T00:00:00Z","cve","https:\u002F\u002Fpatrowl.io\u002Fen\u002Fblog\u002Fphp2shell-2-critical-rce-flaws-php-cvss-9-2","https:\u002F\u002Fpatrowl.io\u002Fmedia\u002Fsite\u002Fc0615c4ee6-1792684469\u002Fphp2shell-2-critical-rce-flaws-php-cvss-9-2.png",{"id":74,"title":75,"summary":76,"published_at":77,"type":78,"link":79,"image_url":80},29,"Manage External Security Across All Your Entities","Centralize the management of entities, users and external security resources while maintaining strict data isolation with Patrowl.","2026-09-15T00:00:00Z","security tips","https:\u002F\u002Fpatrowl.io\u002Fen\u002Fblog\u002Fmulti-entity-external-security-how-structure-governance-group-level","https:\u002F\u002Fpatrowl.io\u002Fmedia\u002Fsite\u002F8b2c0cc5eb-1789551467\u002Fvisu_1_multi_tenancy_dark_1x.webp",{"id":82,"title":83,"summary":84,"published_at":85,"type":86,"link":87,"image_url":88},28,"Will AI Become the Next Hacker? Bruce Schneier Answers at DEF CON 34","Tax law, finance, legislation: Bruce Schneier shows how AI could hack human rule systems just as easily as it hacks software.","2026-09-14T00:00:00Z","hacks","https:\u002F\u002Fpatrowl.io\u002Fen\u002Fblog\u002Fbruce-schneier-def-con-34","https:\u002F\u002Fpatrowl.io\u002Fmedia\u002Fsite\u002F5c616d9db4-1789462598\u002Fai-hacker.en.png",{"id":90,"title":91,"summary":92,"published_at":93,"type":78,"link":94,"image_url":95},27,"Exposure Management: definition, stakes, and how it works","Vulnerabilities, misconfigurations, poorly managed identities: understand what Exposure Management is and why it matters in 2026.","2026-09-10T00:00:00Z","https:\u002F\u002Fpatrowl.io\u002Fen\u002Fblog\u002Fdefinition-exposure-management","https:\u002F\u002Fpatrowl.io\u002Fmedia\u002Fsite\u002F06170638a9-1789050834\u002Fexposure.management.definition.en.png",{"id":97,"title":98,"summary":99,"published_at":100,"type":86,"link":101,"image_url":102},26,"DGFiP Cyberattack 2026: Inside the Attacker","Two distinct attacks hit France","2026-08-17T00:00:00Z","https:\u002F\u002Fpatrowl.io\u002Fen\u002Fblog\u002Fdgfip-cyberattack-2026-inside-attacker-mind","https:\u002F\u002Fpatrowl.io\u002Fmedia\u002Fsite\u002Fdc38d33696-1787055371\u002Fdgfip-2026.png",{"id":104,"title":105,"summary":106,"published_at":107,"type":70,"link":108,"image_url":109},25,"CVE-2026-64638: XSS2Shell, a WordPress Login Vulnerability","Pre-auth XSS on wp-login.php, patched August 6. What is actually exploitable, and how to read it in your Patrowl report.","2026-08-10T00:00:00Z","https:\u002F\u002Fpatrowl.io\u002Fen\u002Fblog\u002Fxss2shell-critical-wordpress-login-vulnerability-2026","https:\u002F\u002Fpatrowl.io\u002Fmedia\u002Fsite\u002F904e61748b-1786369212\u002Fxss2shell.png",{"id":111,"title":112,"summary":112,"published_at":107,"type":70,"link":113,"image_url":114},24,"CVE-2026-64638 : XSS2Shell, faille du login WordPress","https:\u002F\u002Fpatrowl.io\u002Fen\u002Fblog\u002Fcve-2026-64638-xss2shell-faille-login-wordpress","",{"id":116,"title":117,"summary":118,"published_at":119,"type":70,"link":120,"image_url":121},23,"How Agentic AI Hunts Down CVEs Before Attackers Do","38 vulnerability sources monitored around the clock, pentester-validated proof of exploitability, an alert within hours. See how it works.","2026-08-05T00:00:00Z","https:\u002F\u002Fpatrowl.io\u002Fen\u002Fblog\u002Fproactive-threat-hunting-agentic-ai-cve","https:\u002F\u002Fpatrowl.io\u002Fmedia\u002Fsite\u002F804988ce7b-1785930160\u002Fproactive-threat-hunting-how-agentic-ai-tracks-cves.png",{"id":123,"title":124,"summary":125,"published_at":126,"type":86,"link":127,"image_url":128},22,"AI Agent Incident: OpenAI HuggingFace — Risks and Lessons","An autonomous AI agent escaped its sandbox via a JFrog Artifactory zero-day, compromised HuggingFace via privilege escalation and stolen credentials. Reconstructed timeline and security lessons.","2026-07-31T00:00:00Z","https:\u002F\u002Fpatrowl.io\u002Fen\u002Fblog\u002Fai-agent-incident-openai-huggingface-risks","[Image URL from Kirby]",{"id":130,"title":131,"summary":132,"published_at":133,"type":78,"link":134,"image_url":135},21,"SaaS Under Watch: What Your SDLC Doesn","Your pipeline is green. Your real exposure may have changed without you knowing it. The complete guide for software vendors.","2026-07-29T00:00:00Z","https:\u002F\u002Fpatrowl.io\u002Fen\u002Fblog\u002Fsecuring-saas-application-software-vendor","https:\u002F\u002Fpatrowl.io\u002Fmedia\u002Fsite\u002F20d6ec0cd0-1785331401\u002Fapplication-security.png"]