CVE-2026-48737

MEDIUMPre-NVD 4.94.9
EchelonGraph scoreMEDIUM confidence

“—” beside the score: it is equal to the CVSS score beside it.

Score 4.9 from GitHub Security Advisory published 2026-07-09. A secondary CVSS source baseline 4.9; sources differ by 0.0.

Triggered by: GitHub Security Advisory CVSS
Sources: EPSS, GitHub Security Advisory, a secondary CVSS source
Elevated
4.9EG
EchelonGraph verdictPlan a fixRemediate within your standard update timelines (the SSVC decision on this page).
  • CISA's Vulnrichment rates exploitation as PoC; EchelonGraph holds no exploit-code reference for it
CISA-KEV: Not listedEPSS PROB: 0.3%CVSS: 4.9Exploit: No code on recordExposed services: Not assessed

The CVE record names the fixed release — apply it.

pyLoad is a free and open-source download manager written in Python. Prior to 0.5.0b3.dev101, is_global_address in src/pyload/core/utils/web/check.py relies on Python's global-address classification without examining IPv4 destinations embedded in 6to4 or NAT64 IPv6 addresses. A low-privileged user can submit an IPv6 literal through parse_urls to the pre-resolution is_global_host guard. Because host_to_ip is pinned to AF_INET, that guard does not evaluate a hostname's AAAA result. Separately, curl resolves hostnames before the pycurl PREREQFUNC in src/pyload/core/network/http/http_request.py applies the same vulnerable is_global_address check to the actual connection address, so a transition-form AAAA result can be permitted even when it terminates at an embedded loopback, private, CGNAT, or link-local IPv4 address. Exploitation requires the pyLoad host to route the applicable transition mechanism, including 6to4 on affected Python 3.9 through 3.11 deployments or NAT64 on a network with a NAT64 gateway. Successful exploitation can enable internal-network reconnaissance, timing-based confirmation, limited service disruption, or cloud metadata disclosure where the wrapped address is routable. This issue is fixed in version 0.5.0b3.dev101.

CVSS v3
4.9
EG Score
4.9MEDIUMmedium confidence
EG Risk
38
EG Risk 38/100

EG Risk is EchelonGraph's 0–100 priority score: it fuses intrinsic severity with real-world exploitation and automatability so you can rank equal-severity CVEs and fix the most dangerous first. Higher = act sooner. Distinct from the 0–10 EG Score (severity).

How it’s computed (value × EchelonGraph’s weight)
Severity49% × 45%
The EG Score, 4.9 of 10.
Exploitation40% × 40%
EchelonGraph's fixed weight for EG-KEV Tier 3 (Elevated): a constant, not a probability.
Automatability0% × 15%
CISA's SSVC Automatable value: no (Vulnrichment).
SSVC (CISA's decision table, applied by EchelonGraph): Track at low or medium mission impact; Track* at high (mission-essential systems).
Exploitation public PoC (CISA Vulnrichment) · Automatable no (CISA Vulnrichment) · Technical impact partial (CISA Vulnrichment). All three are CISA's SSVC values (Vulnrichment). EchelonGraph applied CISA's decision table to them; CISA publishes SSVC inputs and the table, not a decision for each CVE.
Action: The CVE record names the fixed release. Apply it within your standard update timelines.
EPSS PROB
0.3%
EPSS %ILE
19th
KEV
Not listed

SSVC (CISA's decision table, applied by EchelonGraph)Track at low or medium mission impact; Track* at high (mission-essential systems).

The CVE record names the fixed release. Apply it within your standard update timelines.

Exploitation public PoC (CISA Vulnrichment) · Automatable no (CISA Vulnrichment) · Technical impact partial (CISA Vulnrichment). All three are CISA's SSVC values (Vulnrichment). EchelonGraph applied CISA's decision table to them; CISA publishes SSVC inputs and the table, not a decision for each CVE. Mission impact is CISA's Mission & Well-being decision point, and only you can judge it. CISA's table makes it high when Mission Prevalence is Essential — the vulnerable component "directly provides capabilities that constitute at least one MEF for at least one entity" (MEF: mission essential function) — or when Public Well-Being Impact is Irreversible: "multiple fatalities are likely", the cyber-physical system "is likely lost or destroyed", "extreme or serious externalities" are imposed on other parties, or social systems such as elections or the financial grid "are destabilized and potentially collapse". CISA's decision table

BOD 26-04 (CISA's remediation timeline, Table 1)60 days if the affected system is publicly exposed; Fix on system upgrade if it is not.

In CISA KEV no (CISA's KEV catalog) · Automatable no (CISA Vulnrichment) · Technical impact partial (CISA Vulnrichment). Whether your system is publicly exposed is yours to answer. BOD 26-04 binds US Federal Civilian Executive Branch agencies; for anyone else it is CISA's published timeline, a reference rather than an obligation. The directive · how EchelonGraph applies it

Published

July 9, 2026

Last Modified

September 16, 2026

Advisory Details (2)

Auto-updated Sep 15, 2026
Fix named in the CVE record. Sources: github, github_commit.
GitHub commit

commit ba7491046b2d (pyload/pyload)

Fix landed in pyload/pyload commit ba7491046b2d — awaiting tagged release

https://github.com/pyload/pyload/commit/ba7491046b2d430732be490913e4cbf1f1e899c2
GitHub advisoryMentions a patch (unverified)

SSRF guard bypass via IPv6 6to4/NAT64 transition wrappers of internal IPs · Advisory · pyload/pyload · GitHub

https://github.com/pyload/pyload/security/advisories/GHSA-m5x5-28jr-gpjj

Vendor Advisories for CVE-2026-48737(1)

These vendors published their own advisory mentioning this CVE — often with vendor-specific remediation steps + affected product lists not in NVD.

Patch Availability(1)

Vendor / EcosystemFix (by version range) / PatchReleasedSource
pippyload-ng—ghsa

Patches are aggregated from vendor advisories (Red Hat, Microsoft, Cisco, GitHub) and package ecosystems (OSV, GHSA). Multiple rows for the same upstream release have been deduplicated.

Affected Packages

(1 across 1 ecosystem)
PyPI(1)
PackageVulnerable rangeFix by version rangeDependents
pyload-ng0.5.0a5.dev528 ... 0.5.0b3.dev99 (105 versions)
  • every version through 0.5.0b3.dev100: no fix on record
—

Weakness Classification(1)

MITRE Common Weakness Enumeration — the root-cause categories this CVE belongs to.

Data Freshness Timeline

(refreshed 11× in last 7d / 43× in last 30d)

Each row is a time one of our pipelines fetched, updated or re-scored this CVE. For example, "NVD update" means NVD published or revised its analysis for this CVE; "MITRE cvelistV5" means we ingested or refreshed it from the CNA feed. An arrow marks a change the record states ("CVSS v3 → 9.1"); EPSS and GHSA rows show the values recorded at that time, not what changed (EPSS values are rounded; hover one for the exact figures). Most recent first.

  1. 2026-10-13 16:34 UTCEPSS rescoreEPSS 0.3% · 19th percentile
  2. 2026-10-12 16:34 UTCEPSS rescoreEPSS 0.3% · 19th percentile
  3. 2026-10-12 16:00 UTCEG score recompute
  4. 2026-10-11 19:43 UTCEG score recompute
  5. 2026-10-11 16:58 UTCEG score recompute
  6. 2026-10-11 14:22 UTCEG score recompute
  7. 2026-10-11 13:49 UTCEPSS rescoreEPSS 0.3% · 19th percentile
  8. 2026-10-10 20:00 UTCEPSS rescoreEPSS 0.3% · 19th percentile
  9. 2026-10-09 20:07 UTCEPSS rescoreEPSS 0.3% · 19th percentile
  10. 2026-10-08 17:12 UTCEPSS rescoreEPSS 0.3% · 19th percentile
  11. 2026-10-07 23:48 UTCEPSS rescoreEPSS 0.3% · 19th percentile
  12. 2026-10-06 15:18 UTCEPSS rescoreEPSS 0.3% · 19th percentile
  13. 2026-10-05 17:43 UTCEPSS rescoreEPSS 0.3% · 19th percentile
  14. 2026-10-04 23:22 UTCEPSS rescoreEPSS 0.3% · 19th percentile
  15. 2026-10-03 14:25 UTCEPSS rescoreEPSS 0.3% · 19th percentile
  16. 2026-10-01 19:50 UTCEPSS rescoreEPSS 0.3% · 19th percentile
  17. 2026-10-01 16:03 UTCEG score recompute
  18. 2026-10-01 16:03 UTCGHSA enrichmentGHSA-m5x5-28jr-gpjj · GitHub CVSS 4.9
  19. 2026-09-30 15:03 UTCEPSS rescoreEPSS 0.3% · 19th percentile
  20. 2026-09-28 13:51 UTCEPSS rescoreEPSS 0.3% · 19th percentile
  21. 2026-09-28 10:58 UTCEG score recompute
  22. 2026-09-28 10:58 UTCGHSA enrichmentGHSA-m5x5-28jr-gpjj · GitHub CVSS 4.9
  23. 2026-09-27 13:48 UTCEPSS rescoreEPSS 0.3% · 19th percentile
  24. 2026-09-26 15:59 UTCEPSS rescoreEPSS 0.3% · 19th percentile
  25. 2026-09-26 00:27 UTCEPSS rescoreEPSS 0.3% · 19th percentile
Show 68 more
  1. 2026-09-24 11:40 UTCEG score recompute
  2. 2026-09-24 11:40 UTCGHSA enrichmentGHSA-m5x5-28jr-gpjj · GitHub CVSS 4.9
  3. 2026-09-23 17:53 UTCEPSS rescoreEPSS 0.2% · 7th percentile
  4. 2026-09-23 05:59 UTCEG score recompute
  5. 2026-09-23 05:59 UTCGHSA enrichmentGHSA-m5x5-28jr-gpjj · GitHub CVSS 4.9
  6. 2026-09-20 20:16 UTCEPSS rescoreEPSS 0.2% · 7th percentile
  7. 2026-09-18 19:28 UTCEPSS rescoreEPSS 0.2% · 7th percentile
  8. 2026-09-18 05:37 UTCEG score recompute
  9. 2026-09-18 05:37 UTCGHSA enrichmentGHSA-m5x5-28jr-gpjj · GitHub CVSS 4.9
  10. 2026-09-16 17:53 UTCEG score recompute
  11. 2026-09-16 17:53 UTCGHSA enrichmentGHSA-m5x5-28jr-gpjj · GitHub CVSS 4.9
  12. 2026-09-16 17:11 UTCEG score recompute
  13. 2026-09-16 17:11 UTCGHSA enrichmentGHSA-m5x5-28jr-gpjj · GitHub CVSS 4.9
  14. 2026-09-16 14:08 UTCEPSS rescoreEPSS 0.2% · 7th percentile
  15. 2026-09-16 13:47 UTCGHSA enrichmentGHSA-m5x5-28jr-gpjj · GitHub CVSS 4.9
  16. 2026-09-15 15:35 UTCEG score recompute
  17. 2026-09-15 15:35 UTCGHSA enrichmentGHSA-m5x5-28jr-gpjj · GitHub CVSS 4.9
  18. 2026-09-15 14:43 UTCGHSA enrichmentGHSA-m5x5-28jr-gpjj · GitHub CVSS 4.9
  19. 2026-09-14 08:55 UTCGHSA enrichmentGHSA-m5x5-28jr-gpjj · GitHub CVSS 4.9
  20. 2026-09-13 08:20 UTCGHSA enrichmentGHSA-m5x5-28jr-gpjj · GitHub CVSS 4.9
  21. 2026-09-12 03:25 UTCGHSA enrichmentGHSA-m5x5-28jr-gpjj · GitHub CVSS 4.9
  22. 2026-09-05 22:36 UTCGHSA enrichmentGHSA-m5x5-28jr-gpjj · GitHub CVSS 4.9
  23. 2026-08-30 06:56 UTCGHSA enrichmentGHSA-m5x5-28jr-gpjj · GitHub CVSS 4.9
  24. 2026-08-27 21:46 UTCGHSA enrichmentGHSA-m5x5-28jr-gpjj · GitHub CVSS 4.9
  25. 2026-08-26 08:19 UTCGHSA enrichmentGHSA-m5x5-28jr-gpjj · GitHub CVSS 4.9
  26. 2026-08-25 07:31 UTCGHSA enrichmentGHSA-m5x5-28jr-gpjj · GitHub CVSS 4.9
  27. 2026-08-24 06:55 UTCGHSA enrichmentGHSA-m5x5-28jr-gpjj · GitHub CVSS 4.9
  28. 2026-08-23 06:19 UTCGHSA enrichmentGHSA-m5x5-28jr-gpjj · GitHub CVSS 4.9
  29. 2026-08-22 05:43 UTCGHSA enrichmentGHSA-m5x5-28jr-gpjj · GitHub CVSS 4.9
  30. 2026-08-21 05:07 UTCGHSA enrichmentGHSA-m5x5-28jr-gpjj · GitHub CVSS 4.9
  31. 2026-08-20 04:31 UTCGHSA enrichmentGHSA-m5x5-28jr-gpjj · GitHub CVSS 4.9
  32. 2026-08-19 03:54 UTCGHSA enrichmentGHSA-m5x5-28jr-gpjj · GitHub CVSS 4.9
  33. 2026-08-18 02:55 UTCGHSA enrichmentGHSA-m5x5-28jr-gpjj · GitHub CVSS 4.9
  34. 2026-08-17 01:22 UTCGHSA enrichmentGHSA-m5x5-28jr-gpjj · GitHub CVSS 4.9
  35. 2026-08-16 00:46 UTCGHSA enrichmentGHSA-m5x5-28jr-gpjj · GitHub CVSS 4.9
  36. 2026-08-15 00:10 UTCGHSA enrichmentGHSA-m5x5-28jr-gpjj · GitHub CVSS 4.9
  37. 2026-08-13 23:35 UTCGHSA enrichmentGHSA-m5x5-28jr-gpjj · GitHub CVSS 4.9
  38. 2026-08-12 22:59 UTCGHSA enrichmentGHSA-m5x5-28jr-gpjj · GitHub CVSS 4.9
  39. 2026-08-11 22:24 UTCGHSA enrichmentGHSA-m5x5-28jr-gpjj · GitHub CVSS 4.9
  40. 2026-08-10 21:48 UTCGHSA enrichmentGHSA-m5x5-28jr-gpjj · GitHub CVSS 4.9
  41. 2026-08-09 21:12 UTCGHSA enrichmentGHSA-m5x5-28jr-gpjj · GitHub CVSS 4.9
  42. 2026-08-08 20:37 UTCEG score recompute
  43. 2026-08-08 20:37 UTCGHSA enrichmentGHSA-m5x5-28jr-gpjj · GitHub CVSS 4.9
  44. 2026-08-07 20:01 UTCGHSA enrichmentGHSA-m5x5-28jr-gpjj · GitHub CVSS 4.9
  45. 2026-08-06 19:25 UTCGHSA enrichmentGHSA-m5x5-28jr-gpjj · GitHub CVSS 4.9
  46. 2026-08-05 18:49 UTCGHSA enrichmentGHSA-m5x5-28jr-gpjj · GitHub CVSS 4.9
  47. 2026-08-04 18:14 UTCGHSA enrichmentGHSA-m5x5-28jr-gpjj · GitHub CVSS 4.9
  48. 2026-08-03 17:29 UTCGHSA enrichmentGHSA-m5x5-28jr-gpjj · GitHub CVSS 4.9
  49. 2026-08-02 16:53 UTCGHSA enrichmentGHSA-m5x5-28jr-gpjj · GitHub CVSS 4.9
  50. 2026-08-01 16:17 UTCGHSA enrichmentGHSA-m5x5-28jr-gpjj · GitHub CVSS 4.9
  51. 2026-07-31 15:41 UTCGHSA enrichmentGHSA-m5x5-28jr-gpjj · GitHub CVSS 4.9
  52. 2026-07-30 15:04 UTCEG score recompute
  53. 2026-07-30 15:04 UTCGHSA enrichmentGHSA-m5x5-28jr-gpjj · GitHub CVSS 4.9
  54. 2026-07-29 14:21 UTCGHSA enrichmentGHSA-m5x5-28jr-gpjj · GitHub CVSS 4.9
  55. 2026-07-28 13:42 UTCGHSA enrichmentGHSA-m5x5-28jr-gpjj · GitHub CVSS 4.9
  56. 2026-07-27 13:04 UTCGHSA enrichmentGHSA-m5x5-28jr-gpjj · GitHub CVSS 4.9
  57. 2026-07-26 12:20 UTCEG score recompute
  58. 2026-07-26 12:20 UTCGHSA enrichmentGHSA-m5x5-28jr-gpjj · GitHub CVSS 4.9
  59. 2026-07-23 03:18 UTCEG score recompute
  60. 2026-07-16 18:04 UTCGHSA enrichmentGHSA-m5x5-28jr-gpjj · GitHub CVSS 4.9
  61. 2026-07-15 17:28 UTCGHSA enrichmentGHSA-m5x5-28jr-gpjj · GitHub CVSS 4.9
  62. 2026-07-14 16:48 UTCGHSA enrichmentGHSA-m5x5-28jr-gpjj · GitHub CVSS 4.9
  63. 2026-07-13 16:12 UTCGHSA enrichmentGHSA-m5x5-28jr-gpjj · GitHub CVSS 4.9
  64. 2026-07-12 15:35 UTCGHSA enrichmentGHSA-m5x5-28jr-gpjj · GitHub CVSS 4.9
  65. 2026-07-11 14:59 UTCGHSA enrichmentGHSA-m5x5-28jr-gpjj · GitHub CVSS 4.9
  66. 2026-07-10 14:23 UTCGHSA enrichmentGHSA-m5x5-28jr-gpjj · GitHub CVSS 4.9
  67. 2026-07-09 13:45 UTCEG score recompute
  68. 2026-07-09 13:45 UTCGHSA enrichmentGHSA-m5x5-28jr-gpjj · GitHub CVSS 4.9

Related CVEs(same product + same CWE)

Frequently asked(5)

What is CVE-2026-48737?
CVE-2026-48737 is a medium-severity vulnerability; its CVE record was published on July 9, 2026. pyLoad is a free and open-source download manager written in Python. Prior to 0.5.0b3.dev101, isglobaladdress in src/pyload/core/utils/web/check.py relies on Python's global-address classification without examining IPv4 destinations embedded in 6to4 or NAT64 IPv6 addresses. A low-privileged user…
When was the CVE record for CVE-2026-48737 published?
The CVE record for CVE-2026-48737 was published on July 9, 2026. That is the record's publication date; the vulnerability itself may have been made public earlier. EchelonGraph's copy of the record carries a last-modified date of September 16, 2026; the record at its source may have been updated since.
Is CVE-2026-48737 actively exploited?
CVE-2026-48737 is not currently on CISA's Known Exploited Vulnerabilities catalog. FIRST EPSS estimates a 0.3% probability of exploitation in the next 30 days (19th percentile of EPSS-scored CVEs).
What is the CVSS score of CVE-2026-48737?
CVE-2026-48737 has a CVSS base score of 4.9 (a secondary CVSS source that NVD displays; NVD's own analysis pending).
How do I remediate CVE-2026-48737?
The CVE record for CVE-2026-48737 names the fix: "This issue is fixed in version 0.5.0b3.dev101." The vendor advisories EchelonGraph has for CVE-2026-48737 are linked in the Vendor Advisories panel on this page.

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