GHSA-57XM-MFG7-58XM

Vulnerability from github – Published: 2026-09-29 12:31 – Updated: 2026-09-29 12:31
VLAI
Details

Sliver C2 framework version 1.7.7 and earlier contains an unhandled panic vulnerability in the operator gRPC handler that allows an attacker controlling a compromised implant to crash the entire teamserver by returning a malformed or empty Download response. Attackers can send zero-length or 1-3 byte data payloads through a hostile implant session to trigger an out-of-bounds slice access in the vendored Binject library's BinaryMagic function, which propagates unrecovered through the operator gRPC interceptor chain and terminates the server process, affecting all connected operators.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-102507"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-09-29T12:17:09Z",
    "severity": "MODERATE"
  },
  "details": "Sliver C2 framework version 1.7.7 and earlier contains an unhandled panic vulnerability in the operator gRPC handler that allows an attacker controlling a compromised implant to crash the entire teamserver by returning a malformed or empty Download response. Attackers can send zero-length or 1-3 byte data payloads through a hostile implant session to trigger an out-of-bounds slice access in the vendored Binject library\u0027s BinaryMagic function, which propagates unrecovered through the operator gRPC interceptor chain and terminates the server process, affecting all connected operators.",
  "id": "GHSA-57xm-mfg7-58xm",
  "modified": "2026-09-29T12:31:31Z",
  "published": "2026-09-29T12:31:31Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-102507"
    },
    {
      "type": "WEB",
      "url": "https://github.com/h00die/sliver_1.7.7_DoS"
    },
    {
      "type": "WEB",
      "url": "https://www.vulncheck.com/advisories/sliver-denial-of-service-via-pe-parser-slice-bounds-in-operator-rpc"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:A/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
      "type": "CVSS_V4"
    }
  ]
}



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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

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