Malicious PDF — malware analysis report

Static analysis result for SHA-256 05d9fb968c06af30…

MALICIOUS

PDF

33.9 KB Created: 2020-08-20 21:33:54 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)
MD5: 36ed15fea96c244a87b70e8026c9b012 SHA-1: f83602d86a1091d111432ced64f9fcbd7b42ee73 SHA-256: 05d9fb968c06af30cb0efd5d217f12d046832d9503dd0575db3510383daf72d4
214 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment T1059.007 JavaScript T1203 Exploitation for Client Execution

The PDF contains numerous embedded links, with a critical heuristic identifying a malicious redirector at 'https://ttraff.cc/pify?keyword=ministry+of+finance+egypt+report'. The document body, though partially corrupted, suggests a lure related to a 'Ministry of Finance Egypt Report', likely to trick users into clicking the malicious link. The presence of many external PDF links, some pointing to benign Shopify domains and others to unknown or malicious infrastructure, indicates a link farm or redirection strategy. The ML classifier strongly flagged this PDF as malicious.

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 6

  • PDF links to known malicious redirector infrastructure critical PDF_MALICIOUS_REDIRECTOR_LINK
    PDF contains a clickable URI to redirector infrastructure used by a known malicious PDF SEO/adware delivery campaign. These documents typically rely on user interaction and redirect chains rather than a PDF parser vulnerability.
  • Small PDF contains mass external PDF link farm critical PDF_SEO_LINK_FARM
    Small PDF contains many clickable external PDF links, mostly clustered on one host. This matches generated SEO/link-farm PDF carriers used to route users into malicious or unwanted-software delivery chains, rather than a normal document citation pattern.
  • PDF link to algorithmically-generated URL high PDF_RANDOM_URL_LINK
    PDF contains a clickable HTTP(S) link whose host looks algorithmically generated (pronounceable-random labels) and whose path/query carries a long high-entropy token. This is the randomized-redirector pattern of malspam phishing lures — the visible document is only a prompt — not a PDF parser vulnerability.
  • Callback phishing phone lure medium SE_CALLBACK_LURE
    Document asks the user to call a phone number in billing, refund, subscription, fraud, or security context — consistent with callback phishing or tech-support scam patterns. Suppressed for legitimate-issuer (IRS/gov/official-form) documents that carry no urgency or charge/dispute escalation.
  • Object number defined twice with different bodies info PDF_DUPLICATE_OBJ_BODY_INCREMENTAL
    The same indirect object (N G) is defined more than once with different body bytes. First-wins and last-wins readers will resolve different content, which is a parser-confusion shape used by targeted PDFs. Body-only differences are common in benign incremental updates, so severity is raised only when the duplicate carries active content.
  • Embedded URL info EMBEDDED_URL
    One or more URLs were extracted from the document. The URL itself is not a detection — see the per-URL labels for which channel (macro, JS, link annotation, document body, ...) reached each URL.
    URL https://ttraff.cc/pify?keyword=ministry+of+finance+egypt+report
    • http://files.fourcornersveterinarysymposium.com/uploads/1/3/2/7/132710632/1f1e4d2d832.pdf
    • http://pilimew.saborasalsa.com/uploads/1/3/2/6/132681233/971311.pdf
    • http://www.ascendercorp.com/
    • http://www.ascendercorp.com/typedesigners.html
    • https://cdn.shopify.com/s/files/1/0431/8570/1019/files/ielts_listening_answer_sheet_2017.pdf
    • https://cdn.shopify.com/s/files/1/0437/0356/6486/files/83315629917.pdf
    • https://cdn.shopify.com/s/files/1/0432/7201/1941/files/82436376431.pdf
    • https://cdn.shopify.com/s/files/1/0433/8388/1893/files/budget_highlights_2020_19.pdf
    • https://cdn.shopify.com/s/files/1/0437/3469/6097/files/pebevixifojilefamewibu.pdf
    • https://cdn.shopify.com/s/files/1/0437/6218/8449/files/aperturas_ajedrez_para_nios.pdf
    • https://cdn.shopify.com/s/files/1/0449/9944/2590/files/zumigutodopen.pdf
    • https://cdn.shopify.com/s/files/1/0429/8365/3527/files/acidosis_respiratoria_caso_clinico.pdf
    • https://cdn.shopify.com/s/files/1/0436/1161/9491/files/nifegozaxudonaletewudaza.pdf
    • https://cdn.shopify.com/s/files/1/0431/6938/2557/files/occupational_health_download.pdf
    • http://www.w3.org/1999/02/22-rdf-syntax-ns#
    • http://purl.org/dc/elements/1.1/
    • http://ns.adobe.com/pdf/1.3/
    • http://ns.adobe.com/xap/1.0/
    • http://ns.adobe.com/xap/1.0/mm/
    • http://ns.adobe.com/xap/1.0/rights/
    • http://scripts.sil.org/OFL

Extracted artifacts 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off00004755.bin
4d8d3840e9696913e9500d419dbadcfb9c693b0b3317e892111ce912201916c7		 pdf-font-stream PDF embedded font (sfnt) at offset 0x4755 5260 bytes
font_01_sfnt_off00005950.bin
6cf797b407de23d0115f9a862dc46f6b25eec4069a730fd909afc7bfef27760d		 pdf-font-stream PDF embedded font (sfnt) at offset 0x5950 10024 bytes

Open this report in the interactive analyzer, or submit your own file for analysis.