Malicious PDF — malware analysis report

Static analysis result for SHA-256 aeb05dee409f99ed…

MALICIOUS

PDF

63.6 KB Created: 2020-11-20 22:16:29 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-10-26
MD5: 9298918c49b7bbe1b9e2dd155e6f6388 SHA-1: 1e6fa28718530e4f858b3bfff37b26cad84fe5aa SHA-256: aeb05dee409f99ede4d8791f569e736c92eb22081ea4f55d87c9884302af24df
184 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment T1059.007 JavaScript

The PDF contains multiple embedded URLs, with a critical heuristic firing indicating a link to known malicious redirector infrastructure. The ML classifier also flagged the PDF with high confidence. While no scripts were explicitly extracted, the presence of malicious links suggests an attempt to lure the user to a compromised site, likely for phishing or malware distribution.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9998

Heuristics 5

  • ClamAV: Pdf.Phishing.Trojan-d2568dad23a94d95-d2568dad23a94d95-10044375-0 critical CLAMAV_DETECTION
    ClamAV detected this file as malware: Pdf.Phishing.Trojan-d2568dad23a94d95-d2568dad23a94d95-10044375-0
  • 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 is a non-clustered link farm on disposable hosting medium PDF_SEO_DISPOSABLE_LINK_FARM
    Small PDF contains many clickable external PDF links spread thin across many distinct hosts (no single dominant host), corroborated by a utm_term SEO-redirector link and/or links parked on free/disposable content hosts. This is the 'free document/template' SEO phishing PDF family, which ranks for search queries and routes users into payload/redirect chains, rather than a normal document citation pattern. The PDF itself carries no exploit — the risk is the linked destinations.
  • 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://traffine.ru/123?utm_term=classical+genetics+simulator+answers In PDF document text
    • https://sizukejagu.weebly.com/uploads/1/3/2/6/132681884/95a3305.pdfIn PDF document text
    • https://pudakivofuleges.weebly.com/uploads/1/3/4/8/134853743/91543802.pdfIn PDF document text
    • https://pidadilux.weebly.com/uploads/1/3/4/6/134666204/samesuseliju.pdfIn PDF document text
    • https://paviliwele.weebly.com/uploads/1/3/4/4/134489687/sivuzamasedumepijosu.pdfIn PDF document text
    • https://ferowadamo.weebly.com/uploads/1/3/4/5/134593689/rexazigumiv.pdfIn PDF document text
    • https://rexavinuzuna.weebly.com/uploads/1/3/4/3/134308075/gopusaku_sebaludi_guwepejatab_woxokosid.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • http://www.daltonmaag.com/In PDF document text
    • https://s3.amazonaws.com/wavunot/coulomb_s_law_equation_calculator.pdfIn PDF document text
    • https://s3.amazonaws.com/ditiruz/20648470681.pdfIn PDF document text
    • https://s3.amazonaws.com/fojaxexino/how_to_thin_acrylic_paint_for_models.pdfIn PDF document text
    • https://s3.amazonaws.com/xuzed/zipovotonifawuxi.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/6788ebba-0fc3-48e5-aa4f-c960ae207a47/mike_matthews_bigger_leaner_stronger_reddit.pdfIn PDF document text
    • https://s3.amazonaws.com/fujadabez/50842792262.pdfIn PDF document text
    • https://s3.amazonaws.com/gonafoziguwewe/11393414442.pdfIn PDF document text
    • http://www.w3.org/1999/02/22-rdf-syntax-ns#In PDF document text
    • http://purl.org/dc/elements/1.1/In PDF document text
    • http://ns.adobe.com/pdf/1.3/In PDF document text
    • http://ns.adobe.com/xap/1.0/In PDF document text
    • http://ns.adobe.com/xap/1.0/mm/In PDF document text
    • http://ns.adobe.com/xap/1.0/rights/In PDF document text
    • http://scripts.sil.org/OFLIn PDF document text

Extracted artifacts 3

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off0000b065.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xB065 5116 bytes
SHA-256: 73bc56379a859fe9909a52abc76af24305dc8b94c46135ab062b3490a69f0dc7
font_01_sfnt_off0000c1c2.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xC1C2 10020 bytes
SHA-256: e2ad6eb8e7ad5e2ddf50457fdd2c0323d3e94401e02421b7cfad03fe36bc37f0
font_02_sfnt_off0000e3a7.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xE3A7 4324 bytes
SHA-256: 4fcfa7c68d76e23b667942a3ac892d2d5d88346478daafc61479ad4df4af3dd3

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