GHSA-RF8W-HQGX-F6G8

Vulnerability from github – Published: 2024-03-06 09:30 – Updated: 2024-03-06 09:30
VLAI
Details

In the Linux kernel, the following vulnerability has been resolved:

libbpf: Fix NULL pointer dereference in bpf_object__collect_prog_relos

An issue occurred while reading an ELF file in libbpf.c during fuzzing:

Program received signal SIGSEGV, Segmentation fault.
0x0000000000958e97 in bpf_object.collect_prog_relos () at libbpf.c:4206
4206 in libbpf.c
(gdb) bt
#0 0x0000000000958e97 in bpf_object.collect_prog_relos () at libbpf.c:4206
#1 0x000000000094f9d6 in bpf_object.collect_relos () at libbpf.c:6706
#2 0x000000000092bef3 in bpf_object_open () at libbpf.c:7437
#3 0x000000000092c046 in bpf_object.open_mem () at libbpf.c:7497
#4 0x0000000000924afa in LLVMFuzzerTestOneInput () at fuzz/bpf-object-fuzzer.c:16
#5 0x000000000060be11 in testblitz_engine::fuzzer::Fuzzer::run_one ()
#6 0x000000000087ad92 in tracing::span::Span::in_scope ()
#7 0x00000000006078aa in testblitz_engine::fuzzer::util::walkdir ()
#8 0x00000000005f3217 in testblitz_engine::entrypoint::main::{{closure}} ()
#9 0x00000000005f2601 in main ()
(gdb)

scn_data was null at this code(tools/lib/bpf/src/libbpf.c):

if (rel->r_offset % BPF_INSN_SZ || rel->r_offset >= scn_data->d_size) {

The scn_data is derived from the code above:

scn = elf_sec_by_idx(obj, sec_idx);
scn_data = elf_sec_data(obj, scn);

relo_sec_name = elf_sec_str(obj, shdr->sh_name);
sec_name = elf_sec_name(obj, scn);
if (!relo_sec_name || !sec_name)// don't check whether scn_data is NULL
    return -EINVAL;

In certain special scenarios, such as reading a malformed ELF file, it is possible that scn_data may be a null pointer

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2023-52592"
  ],
  "database_specific": {
    "cwe_ids": [],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-03-06T07:15:08Z",
    "severity": null
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\nlibbpf: Fix NULL pointer dereference in bpf_object__collect_prog_relos\n\nAn issue occurred while reading an ELF file in libbpf.c during fuzzing:\n\n\tProgram received signal SIGSEGV, Segmentation fault.\n\t0x0000000000958e97 in bpf_object.collect_prog_relos () at libbpf.c:4206\n\t4206 in libbpf.c\n\t(gdb) bt\n\t#0 0x0000000000958e97 in bpf_object.collect_prog_relos () at libbpf.c:4206\n\t#1 0x000000000094f9d6 in bpf_object.collect_relos () at libbpf.c:6706\n\t#2 0x000000000092bef3 in bpf_object_open () at libbpf.c:7437\n\t#3 0x000000000092c046 in bpf_object.open_mem () at libbpf.c:7497\n\t#4 0x0000000000924afa in LLVMFuzzerTestOneInput () at fuzz/bpf-object-fuzzer.c:16\n\t#5 0x000000000060be11 in testblitz_engine::fuzzer::Fuzzer::run_one ()\n\t#6 0x000000000087ad92 in tracing::span::Span::in_scope ()\n\t#7 0x00000000006078aa in testblitz_engine::fuzzer::util::walkdir ()\n\t#8 0x00000000005f3217 in testblitz_engine::entrypoint::main::{{closure}} ()\n\t#9 0x00000000005f2601 in main ()\n\t(gdb)\n\nscn_data was null at this code(tools/lib/bpf/src/libbpf.c):\n\n\tif (rel-\u003er_offset % BPF_INSN_SZ || rel-\u003er_offset \u003e= scn_data-\u003ed_size) {\n\nThe scn_data is derived from the code above:\n\n\tscn = elf_sec_by_idx(obj, sec_idx);\n\tscn_data = elf_sec_data(obj, scn);\n\n\trelo_sec_name = elf_sec_str(obj, shdr-\u003esh_name);\n\tsec_name = elf_sec_name(obj, scn);\n\tif (!relo_sec_name || !sec_name)// don\u0027t check whether scn_data is NULL\n\t\treturn -EINVAL;\n\nIn certain special scenarios, such as reading a malformed ELF file,\nit is possible that scn_data may be a null pointer",
  "id": "GHSA-rf8w-hqgx-f6g8",
  "modified": "2024-03-06T09:30:27Z",
  "published": "2024-03-06T09:30:27Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-52592"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/12473265f50c1e27b0dfd9735738ac418c4bfcce"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/5f3e436832e86b826a6450eb8d1aaa51205a758e"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/90dbf4535668042fac0d7201ce9e2c8c770c578a"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/ab26541270c722eedf8eefd62797c3ce3d18a91b"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/fc3a5534e2a8855427403113cbeb54af5837bbe0"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.

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.

Sightings

Author Source Type Date Other

Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

JSON
Events included in the timeline

Loading timeline…


    Loading…

    Loading…

    Loading…

    Related by attack behaviour

    Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.